174 search results - page 10 / 35 » Dimensionality reduction using magnitude and shape approxima... |
100
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CIDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
104
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ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
WSCG
2003
15 years 1 months ago
2003
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex threedimensional objects without human intervention is still a challenging task...
ICIP
1997
IEEE
16 years 1 months ago
1997
IEEE
A new method termed the vertex representation is presented for approximating the shapes of objects of arbitrary dimensionality d (e.g., 20, 30, etc.) with orthogonal (d - 1)-dimen...