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Transformation invariant sparse coding
2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011Sparse coding is a well established principle for unsupervised learning. Traditionally, features are extracted in sparse coding in specific locations, however, often we would prefer invariant representation. This paper introduces a general transformation invariant sparse coding (TISC) model.
Morten Mørup, Mikkel N. Schmidt
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Compressed Nonnegative Sparse Coding
2010 IEEE International Conference on Data Mining, 2010Sparse Coding (SC), which models the data vectors as sparse linear combinations over basis vectors, has been widely applied in machine learning, signal processing and neuroscience. In this paper, we propose a dual random projection method to provide an efficient solution to Nonnegative Sparse Coding (NSC) using small memory.
Fei Wang 0001, Ping Li 0001
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Supervised Transfer Sparse Coding
Proceedings of the AAAI Conference on Artificial Intelligence, 2014A combination of the sparse coding and transfer learning techniques was shown to be accurate and robust in classification tasks where training and testing objects have a shared feature space but are sampled from different underlying distributions, i.e., belong to different domains. The key assumption in such case is that in spite of the
Maruan Al-Shedivat +4 more
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Sparse coding based visual tracking: Review and experimental comparison
Pattern Recognition, 2013Shengping Zhang +2 more
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A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
IEEE Transactions on Image Processing, 2020Zhiyuan Zha, Xin Yuan, Bihan Wen
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Adaptive feature extraction using sparse coding for machinery fault diagnosis
Mechanical Systems and Signal Processing, 2011Haining Liu +2 more
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Graph Regularized Sparse Coding for Image Representation
IEEE Transactions on Image Processing, 2011Miao Zheng, Jiajun Bu, Deng Cai
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Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings
Reliability Engineering and System Safety, 2019Jinyang Jiao, Ming Zhao, Jing Lin
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