847 search results - page 31 / 170 » HITS is Principal Components Analysis |
122
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JMLR
2010
14 years 7 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
CAGD
2007
15 years 13 days ago
2007
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
124
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MIAR
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract. A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work in progress towards mode...
PAMI
2000
15 years 6 days ago
2000
