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2020 – today
- 2025
[e32]Vicente Julián
, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15346, Springer 2025, ISBN 978-3-031-77730-1 [contents]- [e31]Vicente Julián, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15347, Springer 2025, ISBN 978-3-031-77737-0 [contents] - 2024
- [j71]Boyan Xu, Hujun Yin:
A slimmer and deeper approach to deep network structures for low-level vision tasks. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [j70]Lintao Xiang, Hujun Yin:
Feature-enhanced representation with transformers for multi-view stereo. IET Image Process. 18(6): 1530-1539 (2024) - [j69]Tajul Miftahushudur, Bruce Grieve, Hujun Yin:
Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 489-505 (2024) - [j68]Bin Cui, Yao Peng, Yonghong Zhang, Hujun Yin, Hong Fang, Shanchuan Guo, Peijun Du:
Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j67]Runqi Chai, Hanlin Niu, Joaquín Carrasco, Farshad Arvin, Hujun Yin, Barry Lennox:
Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5778-5792 (2024) - [j66]Tianyu Yan, Hujun Yin:
High-frequency channel attention and contrastive learning for image super-resolution. Vis. Comput. 40(12): 8839-8851 (2024) - [c101]Mengyuan Ma, Lin Qian, Hujun Yin:
KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. ICANN (2) 2024: 153-167 - [c100]Yating Huang, Hujun Yin:
Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis. IJCNN 2024: 1-8 - 2023
- [j65]Halil Mertkan Sahin, Tajul Miftahushudur, Bruce Grieve, Hujun Yin:
Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net. Comput. Electron. Agric. 211: 107956 (2023) - [j64]Yiqian Mao, Shan Zhong, Hujun Yin:
DRLFluent: A distributed co-simulation framework coupling deep reinforcement learning with Ansys-Fluent on high-performance computing systems. J. Comput. Sci. 74: 102171 (2023) - [c99]Halil Mertkan Sahin, Bruce Grieve, Hujun Yin:
Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification. IDEAL 2023: 28-38 - [c98]Tajul Miftahushudur, Halil Mertkan Sahin, Bruce Grieve, Hujun Yin:
Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification. IDEAL 2023: 431-441 - [e30]Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julián, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings. Lecture Notes in Computer Science 14404, Springer 2023, ISBN 978-3-031-48231-1 [contents] - 2022
- [j63]Jingwen Su, Boyan Xu, Hujun Yin:
A survey of deep learning approaches to image restoration. Neurocomputing 487: 46-65 (2022) - [j62]Yao Peng, Bin Cui, Hujun Yin, Yonghong Zhang, Peijun Du:
Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7755-7769 (2022) - [j61]Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin:
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8562-8573 (2022) - [j60]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin:
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. 52(2): 849-861 (2022) - [j59]Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo:
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Trans. Image Process. 31: 3347-3358 (2022) - [c97]Mengyuan Ma, Hujun Yin:
Scene Context Enhanced Network for Person Search. ICIP 2022: 2541-2545 - [c96]Qifan Zhou, Hujun Yin:
A U-Net Based Progressive GAN for Microscopic Image Augmentation. MIUA 2022: 458-468 - [e29]Hujun Yin, David Camacho, Peter Tiño:
Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Lecture Notes in Computer Science 13756, Springer 2022, ISBN 978-3-031-21752-4 [contents] - 2021
- [j58]Ananya Gupta, Simon Watson, Hujun Yin:
Deep learning-based aerial image segmentation with open data for disaster impact assessment. Neurocomputing 439: 22-33 (2021) - [j57]Mengyu Liu, Hujun Yin:
Efficient pyramid context encoding and feature embedding for semantic segmentation. Image Vis. Comput. 111: 104195 (2021) - [j56]Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao, Zhijie Zhang, Hujun Yin, Anthony J. Peyton, Wuliang Yin:
Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j55]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 32(1): 266-280 (2021) - [j54]Aftab Khan, Hujun Yin:
Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring. Vis. Comput. 37(7): 1661-1671 (2021) - [c95]Mengyu Liu, Hujun Yin:
Dual Graph-Based Context Aggregation for Scene Parsing. BMVC 2021: 212 - [c94]Jingwen Su, Hujun Yin:
Efficient Multi-Objective GANs for Image Restoration. ICASSP 2021: 1855-1859 - [c93]Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network For Semantic Segmentation. ICIP 2021: 644-648 - [c92]Tajul Miftahushudur, Bruce Grieve, Hujun Yin:
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data. IDEAL 2021: 54-64 - [c91]Boyan Xu, Hujun Yin:
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring. IDEAL 2021: 234-245 - [c90]Boyan Xu, Hujun Yin:
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. IJCNN 2021: 1-8 - [c89]Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquín Carrasco:
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. SII 2021: 144-149 - [c88]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. SII 2021: 590-591 - [c87]Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquín Carrasco:
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. SII 2021: 592-593 - [e28]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - [i17]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. CoRR abs/2102.10709 (2021) - [i16]Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquín Carrasco:
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. CoRR abs/2102.10710 (2021) - [i15]Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquín Carrasco:
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. CoRR abs/2102.10711 (2021) - [i14]Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao, Zhijie Zhang, Hujun Yin, Anthony J. Peyton, Wuliang Yin:
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks. CoRR abs/2104.02472 (2021) - [i13]Boyan Xu, Hujun Yin:
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. CoRR abs/2105.10465 (2021) - [i12]Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network for Semantic Segmentation. CoRR abs/2109.01915 (2021) - 2020
- [j53]Antonio González-Pardo, Antonio J. Tallón-Ballesteros, Hujun Yin:
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j52]Yao Peng, Richard Hankins, Hujun Yin:
Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks. Neurocomputing 378: 24-35 (2020) - [j51]Qing Tian, Wenqiang Zhang, Junxiang Mao, Hujun Yin:
Real-time human cross-race aging-related face appearance detection with deep convolution architecture. J. Real Time Image Process. 17(1): 83-93 (2020) - [j50]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58(2): 971-981 (2020) - [j49]Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin:
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. 11(5): 61:1-61:18 (2020) - [c86]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. ICLR 2020 - [c85]Jingwen Su, Hujun Yin:
Improving Adversarial Learning with Image Quality Measures for Image Deblurring. IDEAL (1) 2020: 160-171 - [c84]Boyan Xu, Hujun Yin:
A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing. IDEAL (1) 2020: 268-279 - [c83]Halil Mertkan Sahin, Bruce Grieve, Hujun Yin:
Automatic Multispectral Image Classification of Plant Virus from Leaf Samples. IDEAL (1) 2020: 374-384 - [c82]Ananya Gupta, Simon Watson, Hujun Yin:
3D Point Cloud Feature Explanations Using Gradient-Based Methods. IJCNN 2020: 1-8 - [e27]Cesar Analide, Paulo Novais, David Camacho, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12489, Springer 2020, ISBN 978-3-030-62361-6 [contents] - [e26]Cesar Analide, Paulo Novais, David Camacho, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12490, Springer 2020, ISBN 978-3-030-62364-7 [contents] - [i11]Ananya Gupta, Simon Watson, Hujun Yin:
3D Point Cloud Feature Explanations Using Gradient-Based Methods. CoRR abs/2006.05548 (2020) - [i10]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. CoRR abs/2006.05560 (2020) - [i9]Ananya Gupta, Simon Watson, Hujun Yin:
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment. CoRR abs/2006.05575 (2020) - [i8]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
CNN-Based Semantic Change Detection in Satellite Imagery. CoRR abs/2006.05589 (2020)
2010 – 2019
- 2019
- [j48]Yao Peng, Hujun Yin:
ApprGAN: appearance-based GAN for facial expression synthesis. IET Image Process. 13(14): 2706-2715 (2019) - [j47]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Process. Lett. 50(3): 2141-2160 (2019) - [c81]Mengyu Liu, Hujun Yin:
Feature Pyramid Encoding Network for Real-time Semantic Segmentation. BMVC 2019: 260 - [c80]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
Post Disaster Mapping With Semantic Change Detection in Satellite Imagery. CVPR Workshops 2019: 472-474 - [c79]Corneliu T. C. Arsene, Richard Hankins, Hujun Yin:
Deep Learning Models for Denoising ECG Signals. EUSIPCO 2019: 1-5 - [c78]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
CNN-Based Semantic Change Detection in Satellite Imagery. ICANN (Workshop) 2019: 669-684 - [c77]Mengyu Liu, Hujun Yin:
Cross Attention Network for Semantic Segmentation. ICIP 2019: 2434-2438 - [c76]Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multitemporal Aerial Image Registration Using Semantic Features. IDEAL (2) 2019: 78-86 - [c75]Xingang Mou, Jian Cui, Hujun Yin, Xiao Zhou:
Tracking Position and Status of Electric Control Switches Based on YOLO Detector. IDEAL (1) 2019: 184-194 - [c74]Jingwen Su, Yao Peng, Hujun Yin:
Image Quality Constrained GAN for Super-Resolution. IDEAL (1) 2019: 247-256 - [e25]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 [contents] - [e24]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5 [contents] - [i7]Mengyu Liu, Hujun Yin:
Cross Attention Network for Semantic Segmentation. CoRR abs/1907.10958 (2019) - [i6]Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features. CoRR abs/1908.11822 (2019) - [i5]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. CoRR abs/1909.00025 (2019) - [i4]Mengyu Liu, Hujun Yin:
Feature Pyramid Encoding Network for Real-time Semantic Segmentation. CoRR abs/1909.08599 (2019) - 2018
- [j46]Yicun Ouyang, Hujun Yin:
Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models. Int. J. Neural Syst. 28(4): 1750053:1-1750053:13 (2018) - [j45]Xiaohong Chen, Hujun Yin, Fan Jiang, Liping Wang:
Multi-view dimensionality reduction based on Universum learning. Neurocomputing 275: 2279-2286 (2018) - [j44]Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin:
Robust ordinal regression induced by lp-centroid. Neurocomputing 313: 184-195 (2018) - [j43]Yao Peng, Hujun Yin:
Facial expression analysis and expression-invariant face recognition by manifold-based synthesis. Mach. Vis. Appl. 29(2): 263-284 (2018) - [j42]Ali AlSuwaidi, Bruce Grieve, Hujun Yin:
Feature-Ensemble-Based Novelty Detection for Analyzing Plant Hyperspectral Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1041-1055 (2018) - [j41]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybern. 48(6): 1814-1826 (2018) - [j40]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Cross-Modal Metric Learning for AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4844-4856 (2018) - [c73]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature recognition. BMVC 2018: 223 - [c72]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Automatic Tree Annotation in LiDAR Data. GISTAM 2018: 36-41 - [c71]Richard Hankins, Yao Peng, Hujun Yin:
Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks. IDEAL (1) 2018: 838-848 - [c70]Yao Peng, Menyu Liu, Hujun Yin:
Deep Neural Networks with Markov Random Field Models for Image Classification. IDEAL (1) 2018: 849-859 - [c69]Richard Hankins, Yao Peng, Hujun Yin:
SOMNet: Unsupervised Feature Learning Networks for Image Classification. IJCNN 2018: 1-8 - [c68]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. NeurIPS 2018: 7750-7761 - [e23]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11314, Springer 2018, ISBN 978-3-030-03492-4 [contents] - [e22]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11315, Springer 2018, ISBN 978-3-030-03495-5 [contents] - [i3]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. CoRR abs/1805.08574 (2018) - 2017
- [j39]Weilin Huang, Hujun Yin:
Robust face recognition with structural binary gradient patterns. Pattern Recognit. 68: 126-140 (2017) - [c67]Ali AlSuwaidi, Bruce Grieve, Hujun Yin:
Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification. IDEAL 2017: 251-260 - [c66]Yao Peng, Hujun Yin:
Markov Random Field Based Convolutional Neural Networks for Image Classification. IDEAL 2017: 387-396 - [c65]Xiaohong Chen, Hujun Yin, Menglei Hu, Liping Wang:
Universum Discriminant Canonical Correlation Analysis. IDEAL 2017: 560-570 - [c64]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Variation Robust Cross-Modal Metric Learning for Caricature Recognition. ACM Multimedia (Thematic Workshops) 2017: 340-348 - [e21]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents] - [i2]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature face recognition. CoRR abs/1703.03230 (2017) - 2016
- [c63]Yao Peng, Hujun Yin:
Expression Classification and Intensity Estimation by Expression Manifold Synthesis. IDEAL 2016: 635-644 - [c62]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia 2016: 1405-1414 - [e20]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2015
- [c61]Shireen Mohd Zaki, Hujun Yin:
Multi-manifold Approach to Multi-view Face Recognition. IDEAL 2015: 370-377 - [c60]Yicun Ouyang, Hujun Yin:
Multistep Forecast of FX Rates Using an Extended Self-organizing Regressive Neural Network. IDEAL 2015: 449-456 - [c59]Hujun Yin, Shireen Mohd Zaki:
A Self-Organising Multi-Manifold Learning Algorithm. IWINAC (2) 2015: 389-398 - [e19]Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings. Lecture Notes in Computer Science 9375, Springer 2015, ISBN 978-3-319-24833-2 [contents] - [i1]Weilin Huang, Hujun Yin:
Robust Face Recognition with Structural Binary Gradient Patterns. CoRR abs/1506.00481 (2015) - 2014
- [j38]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. Int. J. Neural Syst. 24(3) (2014) - [j37]Yu-Bin Yang, Ya-Nan Li, Yang Gao, Hujun Yin, Ye Tang:
Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction. Int. J. Neural Syst. 24(7) (2014) - [j36]Yicun Ouyang, Hujun Yin:
A neural gas mixture autoregressive network for modelling and forecasting FX time series. Neurocomputing 135: 171-179 (2014) - [j35]Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin:
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [c58]Yicun Ouyang, Hujun Yin:
Time series prediction with a non-causal neural network. CIFEr 2014: 25-31 - [c57]Yicun Ouyang, Hujun Yin:
Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model. IDEAL 2014: 102-109 - [c56]Liang Chen, Ming Yang, Cheng Deng, Hujun Yin:
Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. IDEAL 2014: 247-254 - [e18]Emilio Corchado, José Antonio Lozano, Héctor Quintián, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2014 - 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings. Lecture Notes in Computer Science 8669, Springer 2014, ISBN 978-3-319-10839-1 [contents] - 2013
- [c55]Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin, Yinghuan Shi:
Image Super Resolution via Visual Prior Based Digital Image Characteristics. IDEAL 2013: 168-177 - [c54]Yicun Ouyang, Hujun Yin:
Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model. IDEAL 2013: 262-269 - [c53]Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin:
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. IDEAL 2013: 603-610 - [e17]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - 2012
- [j34]Aftab Khan, Hujun Yin:
Efficient blind image deconvolution using spectral non-Gaussianity. Integr. Comput. Aided Eng. 19(4): 331-340 (2012) - [j33]Hujun Yin, David A. Clifton:
Introduction. Int. J. Neural Syst. 22(5) (2012) - [j32]Weilin Huang, Hujun Yin:
On nonlinear dimensionality reduction for face recognition. Image Vis. Comput. 30(4-5): 355-366 (2012) - [c52]Zareen Mehboob, Hujun Yin, Sophie M. Wuerger, Laura M. Parkes:
Multivoxel Pattern Analysis Using Information-Preserving EMD. IDEAL 2012: 19-26 - [c51]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83 - [e16]Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto:
Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7435, Springer 2012, ISBN 978-3-642-32638-7 [contents] - 2011
- [j31]Zareen Mehboob, Hujun Yin:
Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials. Int. J. Neural Syst. 21(1): 49-63 (2011) - [j30]Bruno Baruque, Emilio Corchado, Hujun Yin:
The S2-Ensemble Fusion Algorithm. Int. J. Neural Syst. 21(6): 505-525 (2011) - [j29]Hujun Yin:
Introduction. Int. J. Neural Syst. 21(6) (2011) - [c50]Aftab Khan, Hujun Yin:
Spectral Non-gaussianity for Blind Image Deblurring. IDEAL 2011: 144-151 - [c49]James Burnstone, Hujun Yin:
Eigenlights: Recovering Illumination from Face Images. IDEAL 2011: 490-497 - [e15]Hujun Yin, Wenjia Wang, Victor J. Rayward-Smith:
Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science 6936, Springer 2011, ISBN 978-3-642-23877-2 [contents] - 2010
- [j28]Hujun Yin, Weilin Huang:
Adaptive nonlinear manifolds and their applications to pattern recognition. Inf. Sci. 180(14): 2649-2662 (2010) - [c48]Weilin Huang, Hujun Yin:
A dissimilarity kernel with local features for robust facial recognition. ICIP 2010: 3785-3788 - [c47]Zareen Mehboob, Hujun Yin:
Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD. IDEAL 2010: 360-367 - [c46]José Alfredo F. Costa, Hujun Yin:
Gradient-based SOM clustering and visualisation methods. IJCNN 2010: 1-8 - [e14]Colin Fyfe, Peter Tiño, Darryl Charles, César Ignacio García-Osorio, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6283, Springer 2010, ISBN 978-3-642-15380-8 [contents]
2000 – 2009
- 2009
- [j27]Jing Zhu, Hujun Yin:
Enabling collocated coexistence in IEEE 802.16 networks via perceived concurrency. IEEE Commun. Mag. 47(6): 108-114 (2009) - [j26]He Ni, Hujun Yin:
Exchange rate prediction using hybrid neural networks and trading indicators. Neurocomputing 72(13-15): 2815-2823 (2009) - [j25]He Ni, Hujun Yin:
A self-organising mixture autoregressive network for FX time series modelling and prediction. Neurocomputing 72(16-18): 3529-3537 (2009) - [c45]Bicheng Li, Huang Jie, Hujun Yin:
A General Fuzzy Modeling Approach to Detection Decision Fusion. FCST 2009: 495-501 - [c44]Hujun Yin, He Ni:
Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series. ICANN (1) 2009: 577-586 - [c43]Clark Chen, Yang-Seok Choi, Nageen Himayat, Minnie Ho, Vladimir Kravtsov, Guangjie Li, Qinghua Li, Yuval Lomnitz, Hongmei Sun, Hua Yang, Shilpa Talwar, Hujun Yin, Hongming Zheng, Shanshan Zheng:
Multi-user MIMO and adaptive frequency reuse for next-generation mobile broadband networks. ICASSP 2009: 3617-3620 - [c42]Weilin Huang, Hujun Yin:
Linear and nonlinear dimensionality reduction for face recognition. ICIP 2009: 3337-3340 - [c41]Zareen Mehboob, Hujun Yin:
Information Preserving Empirical Mode Decomposition for Filtering Field Potentials. IDEAL 2009: 226-233 - [c40]Weilin Huang, Hujun Yin:
Nonlinear Dimensionality Reduction for Face Recognition. IDEAL 2009: 424-432 - [c39]Weilin Huang, Hujun Yin:
ViSOM for Dimensionality Reduction in Face Recognition. WSOM 2009: 107-115 - [c38]Hujun Yin, He Ni:
Generalized Self-Organizing Mixture Autoregressive Model. WSOM 2009: 353-361 - [e13]Emilio Corchado, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings. Lecture Notes in Computer Science 5788, Springer 2009, ISBN 978-3-642-04393-2 [contents] - 2008
- [j24]Hujun Yin, Israr Hussain:
Independent component analysis and nongaussianity for blind image deconvolution and deblurring. Integr. Comput. Aided Eng. 15(3): 219-228 (2008) - [j23]He Ni, Hujun Yin:
Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling. Int. J. Neural Syst. 18(6): 469-480 (2008) - [j22]John A. Keane, Hujun Yin, Victor J. Rayward-Smith:
Special Issue Arising from the IDEAL 2007 Conference. J. Math. Model. Algorithms 7(4): 327-328 (2008) - [j21]Shireen Mohd Zaki, Hujun Yin:
A Semi-Supervised Learning Algorithm for Growing Neural Gas in Face Recognition. J. Math. Model. Algorithms 7(4): 425-435 (2008) - [j20]Hujun Yin:
On multidimensional scaling and the embedding of self-organising maps. Neural Networks 21(2-3): 160-169 (2008) - [c37]Hujun Yin:
Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches. HAIS 2008: 15-29 - [c36]Zareen Mehboob, Hujun Yin:
Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition. HAIS 2008: 714-721 - [c35]Hujun Yin, Stefano Panzeri, Zareen Mehboob, Mathew E. Diamond:
Decoding Population Neuronal Responses by Topological Clustering. ICANN (2) 2008: 547-556 - [c34]Shireen Mohd Zaki, Hujun Yin:
Semi-supervised Growing Neural Gas for Face Recognition. IDEAL 2008: 525-532 - [c33]Zareen Mehboob, Stefano Panzeri, Mathew E. Diamond, Hujun Yin:
Topological clustering of synchronous spike trains. IJCNN 2008: 3889-3894 - [p1]Hujun Yin:
The Self-Organizing Maps: Background, Theories, Extensions and Applications. Computational Intelligence: A Compendium 2008: 715-762 - [e12]Colin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings. Lecture Notes in Computer Science 5326, Springer 2008, ISBN 978-3-540-88905-2 [contents] - 2007
- [j19]Hujun Yin:
Nonlinear dimensionality reduction and data visualization: A review. Int. J. Autom. Comput. 4(3): 294-303 (2007) - [c32]Emilio Corchado, Bruno Baruque, Hujun Yin:
Boosting Unsupervised Competitive Learning Ensembles. ICANN (1) 2007: 339-348 - [c31]Lei A. Clifton, Hujun Yin, David A. Clifton, Yang Zhang:
Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC 2007: 495-500 - [c30]Bruno Baruque, Emilio Corchado, Hujun Yin:
Quality of Adaptation of Fusion ViSOM. IDEAL 2007: 728-738 - [c29]He Ni, Hujun Yin:
Time-Series Prediction Using Self-Organising Mixture Autoregressive Network. IDEAL 2007: 1000-1009 - [c28]Hujun Yin:
Connection between Self-Organizing Maps and Metric Multidimensional Scaling. IJCNN 2007: 1025-1030 - [c27]Bruno Baruque, Emilio Corchado, Hujun Yin:
ViSOM Ensembles for Visualization and Classification. IWANN 2007: 235-243 - [c26]Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi Rovira, Javier González:
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models. KES (2) 2007: 435-443 - [e11]Hujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings. Lecture Notes in Computer Science 4881, Springer 2007, ISBN 978-3-540-77225-5 [contents] - 2006
- [j18]K. W. Lau, Hujun Yin, Simon J. Hubbard:
Kernel self-organising maps for classification. Neurocomputing 69(16-18): 2033-2040 (2006) - [j17]Hujun Yin:
Special Issue on Adaptive Learning Algorithms. J. Math. Model. Algorithms 5(4): 395-396 (2006) - [j16]Thomas McLaughlin, Jennifer A. Siepen, Julian N. Selley, Jennifer A. Lynch, King Wai Lau, Hujun Yin, Simon J. Gaskell, Simon J. Hubbard:
PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns. Nucleic Acids Res. 34(Database-Issue): 649-654 (2006) - [j15]Hujun Yin:
On the equivalence between kernel self-organising maps and self-organising mixture density networks. Neural Networks 19(6-7): 780-784 (2006) - [c25]Yi Wang, Hujun Yin, Li-Zhu Zhou, Zhi-Qiang Liu:
Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks. ICONIP (2) 2006: 671-678 - [c24]Hujun Yin, Israr Hussain:
ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring. IDEAL 2006: 595-603 - [c23]He Ni, Hujun Yin:
Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction. ISNN (2) 2006: 504-511 - [c22]Lei A. Clifton, Hujun Yin, Yang Zhang:
Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. ISNN (2) 2006: 836-843 - [e10]Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe:
Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings. Lecture Notes in Computer Science 4224, Springer 2006, ISBN 3-540-45485-3 [contents] - [e9]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3971, Springer 2006, ISBN 3-540-34439-X [contents] - [e8]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3972, Springer 2006, ISBN 3-540-34437-3 [contents] - [e7]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3973, Springer 2006, ISBN 3-540-34482-9 [contents] - 2005
- [j14]Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Hujun Yin, Olaf Wolkenhauer:
Clustering of unevenly sampled gene expression time-series data. Fuzzy Sets Syst. 152(1): 49-66 (2005) - [j13]Carla S. Möller-Levet, Hujun Yin:
Modeling and analysis of gene expression time-series based on co-expression. Int. J. Neural Syst. 15(4): 311-322 (2005) - [j12]Richard T. Freeman, Hujun Yin:
Tree view self-organisation of web content. Neurocomputing 63: 415-446 (2005) - [j11]Richard T. Freeman, Hujun Yin:
Web content management by self-organization. IEEE Trans. Neural Networks 16(5): 1256-1268 (2005) - [c21]Bicheng Li, Hujun Yin:
Face Recognition Based on Support Vector Machine Fusion and Wavelet Transform. CIS (2) 2005: 764-771 - [c20]Carla S. Möller-Levet, Hujun Yin:
Circular SOM for Temporal Characterisation of Modelled Gene Expressions. IDEAL 2005: 319-326 - [c19]K. W. Lau, Benjamin J. Stapley, Simon J. Hubbard, Hujun Yin:
Matching Peptide Sequences with Mass Spectra. IDEAL 2005: 390-397 - [c18]Bicheng Li, Hujun Yin:
Face Recognition Using RBF Neural Networks and Wavelet Transform. ISNN (2) 2005: 105-111 - [e6]Yue Hao, Jiming Liu, Yuping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao:
Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3801, Springer 2005, ISBN 3-540-30818-0 [contents] - [e5]Yue Hao, Jiming Liu, Yu-Ping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao:
Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3802, Springer 2005, ISBN 3-540-30819-9 [contents] - 2004
- [j10]Richard T. Freeman, Hujun Yin:
Adaptive topological tree structure for document organisation and visualisation. Neural Networks 17(8-9): 1255-1271 (2004) - [j9]Hujun Yin, Hui Liu:
Distributed rate adaptive packet access (DRAPA) for multicell wireless networks. IEEE Trans. Wirel. Commun. 3(2): 432-441 (2004) - [c17]Carla S. Möller-Levet, Hujun Yin:
Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric. IDEAL 2004: 1-10 - [c16]Swapna Sarvesvaran, Hujun Yin:
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data. IDEAL 2004: 78-84 - [c15]Richard T. Freeman, Hujun Yin:
Topological Tree for Web Organisation, Discovery and Exploration. IDEAL 2004: 478-484 - [e4]Zheng Rong Yang, Richard M. Everson, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings. Lecture Notes in Computer Science 3177, Springer 2004, ISBN 3-540-22881-0 [contents] - 2003
- [c14]Hujun Yin:
Nonlinear Multidimensional Data Projection and Visualisation. IDEAL 2003: 377-388 - [e3]Jiming Liu, Yiu-ming Cheung, Hujun Yin:
Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers. Lecture Notes in Computer Science 2690, Springer 2003, ISBN 3-540-40550-X [contents] - 2002
- [j8]Nigel M. Allinson, Hujun Yin, Klaus Obermayer:
Introduction: new developments in self-organising maps. Neural Networks 15(8-9): 943- (2002) - [j7]Hujun Yin:
Data visualisation and manifold mapping using the ViSOM. Neural Networks 15(8-9): 1005-1016 (2002) - [j6]Michel Haritopoulos, Hujun Yin, Nigel M. Allinson:
Image denoising using self-organizing map-based nonlinear independent component analysis. Neural Networks 15(8-9): 1085-1098 (2002) - [j5]Hujun Yin:
ViSOM - a novel method for multivariate data projection and structure visualization. IEEE Trans. Neural Networks 13(1): 237-243 (2002) - [j4]Hujun Yin, Hui Liu:
Performance of space-division multiple-access (SDMA) with scheduling. IEEE Trans. Wirel. Commun. 1(4): 611-618 (2002) - [c13]Richard T. Freeman, Hujun Yin:
Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information. IDEAL 2002: 123-128 - [c12]Ben Russell, Hujun Yin, Nigel M. Allinson:
Document Clustering Using the 1 + 1 Dimensional Self-Organising Map. IDEAL 2002: 154-160 - [c11]Michel Haritopoulos, Hujun Yin, Nigel M. Allinson:
Self-organizing map applied to image denoising. NNSP 2002: 525-534 - [e2]Hujun Yin, Nigel M. Allinson, Richard T. Freeman, John A. Keane, Simon J. Hubbard:
Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings. Lecture Notes in Computer Science 2412, Springer 2002, ISBN 3-540-44025-9 [contents] - 2001
- [j3]Hui Liu, Hujun Yin:
Receiver design in multicarrier direct-sequence CDMA communications. IEEE Trans. Commun. 49(8): 1479-1487 (2001) - [j2]Hujun Yin, Nigel M. Allinson:
Self-organizing mixture networks for probability density estimation. IEEE Trans. Neural Networks 12(2): 405-411 (2001) - [c10]Hujun Yin:
Visualisation Induced SOM (ViSOM). WSOM 2001: 81-88 - [c9]Michel Haritopoulos, Hujun Yin, Nigel M. Allinson:
Nonlinear Blind Source Separation Using SOMs and Applications to Image Denoising. WSOM 2001: 275-282 - [e1]Nigel M. Allinson, Hujun Yin, Lesley Allinson, Jon M. Slack:
Advances in Self-Organising Maps, WSOM 2001, Lincoln, UK, 13-15 June, 2011. Springer 2001, ISBN 978-1-85233-511-3 [contents] - 2000
- [c8]Hujun Yin, Hui Liu:
An efficient multiuser loading algorithm for OFDM-based broadband wireless systems. GLOBECOM 2000: 103-107 - [c7]Hujun Yin, Hui Liu:
An SDMA protocol for wireless multimedia networks. ICASSP 2000: 2613-2616 - [c6]Qingfu Zhang, Hujun Yin, Nigel M. Allinson:
A Simplified ICA Based Denoising Method. IJCNN (5) 2000: 479-482
1990 – 1999
- 1999
- [c5]Hujun Yin, Hui Liu:
Receiver design in multicarrier DS CDMA communications. ICC 1999: 922-926 - [c4]Hujun Yin, Nigel M. Allinson:
Averaging ensembles of self-organising mixture networks for density estimation. IJCNN 1999: 1456-1460 - 1995
- [j1]Hujun Yin, Nigel M. Allinson:
On the distribution and convergence of feature space in self-organizing maps. Neural Comput. 7(6): 1178-1187 (1995) - 1994
- [c3]Hujun Yin, Nigel M. Allinson:
Self-Organised Parameter Estimation and Segmentation of MRF Model-Based Texture Images. ICIP (2) 1994: 645-649 - 1993
- [c2]Hujun Yin, Nigel M. Allinson:
On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm. IWANN 1993: 291-296 - 1990
- [c1]Hujun Yin, Tong Zhou:
Speaker recognition using static and dynamic CEPSTRAL feature by a learning neural network. ICSLP 1990: 1277-1280
Coauthor Index
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