793 search results - page 115 / 159 » Confidence-weighted linear classification |
ICML
2004
IEEE
16 years 19 days ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
104
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ISBI
2006
IEEE
16 years 16 days ago
2006
IEEE
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
101
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ACMSE
2009
ACM
15 years 6 months ago
2009
ACM
In a world of increasing Internet connectivity coupled with increasing computer security risks, security conscious network applications implementing blacklisting technology are be...
129
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AMFG
2003
IEEE
15 years 5 months ago
2003
IEEE
In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the hig...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...