1245 search results - page 43 / 249 » Binary Sparse Coding |
87
Voted
NIPS
2007
15 years 3 months ago
2007
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
144
Voted
ICCV
2011
IEEE
14 years 2 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
161
click to vote
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
131
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AAAI
2011
14 years 2 months ago
2011
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
130
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...