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163
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Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
107
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NIPS
2003
15 years 1 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
WABI
2007
Springer
15 years 6 months ago
2007
Springer
In comparing genomic maps, it is often difficult to distinguish mapping errors and incorrectly resolved paralogies from genuine rearrangements of the genomes. A solution to this ...
117
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TCSV
2008
14 years 11 months ago
2008
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...