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- research-articleApril 2023
Panoramic image generation using deep neural networks
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 27, Issue 13Pages 8679–8695https://doi.org/10.1007/s00500-023-08056-5AbstractA traditional approach for panoramic image generation consists of a random sample consensus (RANSAC) algorithm on a set of scale-invariant feature transform (SIFT) correspondences to generate a homography matrix between two images. Although ...
- research-articleApril 2021
Deep learning-based investment strategy: technical indicator clustering and residual blocks
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 25, Issue 7Pages 5151–5161https://doi.org/10.1007/s00500-020-05516-0AbstractFinancial forecasting using computational intelligence nowadays remains a hot topic. Recent improvements in deep neural networks allow us to predict financial market behavior better than traditional machine learning approaches. In this paper, we ...
- ArticleOctober 2020
Reducing Triangle Inequality Violations with Deep Learning and Its Application to Image Retrieval
Advances in Visual ComputingPages 310–318https://doi.org/10.1007/978-3-030-64559-5_24AbstractGiven a distance matrix with triangular inequality violations, the metric nearness problem requires to find the closest matrix that satisfies the triangle inequality. It has been experimentally shown that deep neural networks can be used to ...
