Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleSeptember 2024
Create a cloud backup system using SM4 algorithm and redundancy detection technology
FAIML '24: Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine LearningPages 250–253https://doi.org/10.1145/3653644.3664963Cloud backup, as a backup method that stores data in the cloud, is gradually becoming an important trend in the field of data management. In the actual application of cloud backup, data security issues and data redundancy issues have attracted much ...
- research-articleJune 2022
Revealing the novel precise subset identification and deduplication of audio substance over the shared public environment
The Journal of Supercomputing (JSCO), Volume 78, Issue 9Pages 11856–11872https://doi.org/10.1007/s11227-022-04317-6AbstractCloud computing has become an effective solution for various services on the internet. Additionally, a cloud environment acts as a default storage location for application users. Large cloud storage service providers receive terabytes of data per ...
- ArticleNovember 2020
Redundancy Treatment of NGS Contigs in Microbial Genome Finishing with Hashing-Based Approach
Advances in Bioinformatics and Computational BiologyPages 13–24https://doi.org/10.1007/978-3-030-65775-8_2AbstractRepetitive DNA sequences longer than reads’ length produce assembly gaps. In addition, repetition can cause complex and misassembled rearrangements that creates branches in assembler graphs. Algorithms must decide which way is the best. Incorrect ...
- ArticleJanuary 2019
Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping
Machine Learning and Knowledge Discovery in DatabasesPages 86–102https://doi.org/10.1007/978-3-030-10997-4_6AbstractModern vehicles exchange signals across multiple ECUs in order to run various functionalities. With increasing functional complexity the amount of distinct signals grew too large to be analyzed manually. During development of a car only subsets of ...
- research-articleNovember 2016
Detection of redundant expressions
Computer Languages, Systems and Structures (CLSS), Volume 46, Issue CPages 167–181https://doi.org/10.1016/j.cl.2016.07.006Detection of redundant expressions in a program based on values is a well researched problem done with a view to eliminate redundancies so as to improve run-time efficiency of the program. The problem entails detection of equivalent expressions in a ...
- articleApril 2009
Dynamic video summarization using two-level redundancy detection
Multimedia Tools and Applications (MTAA), Volume 42, Issue 2Pages 233–250https://doi.org/10.1007/s11042-008-0236-xThe mushroom growth of video information, consequently, necessitates the progress of content-based video analysis techniques. Video summarization, aiming to provide a short video summary of the original video document, has drawn much attention these ...
- articleJune 2008
Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
Computer Vision and Image Understanding (CVIU), Volume 110, Issue 3Pages 418–431https://doi.org/10.1016/j.cviu.2007.09.015News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories, news story similarity plays a critical role in assessing the novelty and ...
- articleFebruary 1992
Original Contribution: Fuzzy-set-based hierarchical networks for information fusion in computer vision
Neural Networks (NENE), Volume 5, Issue 2Pages 335–350https://doi.org/10.1016/S0893-6080(05)80031-0A new methodology based on fuzzy-set-theoretic connectives to achieve information fusion in computer vision systems is introduced. The proposed scheme may be treated as a neural network in which fuzzy aggregation functions are used as activation ...
