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Transformation invariant sparse coding

2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Sparse 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
openaire   +1 more source

Compressed Nonnegative Sparse Coding

2010 IEEE International Conference on Data Mining, 2010
Sparse 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
openaire   +1 more source

Supervised Transfer Sparse Coding

Proceedings of the AAAI Conference on Artificial Intelligence, 2014
A 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
openaire   +1 more source

Sparse coding based visual tracking: Review and experimental comparison

Pattern Recognition, 2013
Shengping Zhang   +2 more
exaly  

A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization

IEEE Transactions on Image Processing, 2020
Zhiyuan Zha, Xin Yuan, Bihan Wen
exaly  

Adaptive feature extraction using sparse coding for machinery fault diagnosis

Mechanical Systems and Signal Processing, 2011
Haining Liu   +2 more
exaly  

Graph Regularized Sparse Coding for Image Representation

IEEE Transactions on Image Processing, 2011
Miao Zheng, Jiajun Bu, Deng Cai
exaly  

Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings

Reliability Engineering and System Safety, 2019
Jinyang Jiao, Ming Zhao, Jing Lin
exaly  

Discriminative sparse coding on multi-manifolds

Knowledge-Based Systems, 2013
Xin Gao
exaly  

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