97 search results - page 4 / 20 » Learning Condensed Feature Representations from Large Unsupe... |
122
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ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
130
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...
165
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SAC
2006
ACM
15 years 10 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
144
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MLDM
2005
Springer
15 years 9 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
156
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PR
2011
14 years 6 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...