2629 search results - page 250 / 526 » Components for Face Recognition |
165
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
172
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AIPR
2003
IEEE
15 years 12 months ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
211
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AMDO
2008
Springer
15 years 8 months ago
2008
Springer
This paper presents a framework for view-invariant action recognition in image sequences. Feature-based human detection becomes extremely challenging when the agent is being observ...
174
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
138
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WWW
2007
ACM
16 years 7 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...