22 search results - page 2 / 5 » Combining Reconstruction and Discrimination with Class-Speci... |
BMVC
2010
13 years 3 months ago
2010
Insect species recognition is a typical application of image categorization and object recognition. Unlike generic image categorization datasets (such as the Caltech 101 dataset) ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...