477 search results - page 37 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
ICIP
2002
IEEE
15 years 4 months ago
2002
IEEE
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
111
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ICPR
2004
IEEE
16 years 27 days ago
2004
IEEE
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
164
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TCBB
2011
14 years 6 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
101
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HIS
2004
15 years 1 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
NAACL
2004
15 years 1 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...