131 search results - page 17 / 27 » Resolving Variations in Learning Spaces for Experiential Lea... |
COLT
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
103
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ISBI
2011
IEEE
14 years 3 months ago
2011
IEEE
While basic principles of microtubule organization are well understood, much remains to be learned about the extent and significance of variation in that organization among cell t...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
105
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ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
WACV
2008
IEEE
15 years 6 months ago
2008
IEEE
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...