240 search results - page 18 / 48 » Robust Multi-Objective Optimization in High Dimensional Spac... |
105
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FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...
FSKD
2006
Springer
15 years 1 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
105
click to vote
FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
PAMI
2008
14 years 9 months ago
2008
In previous optimization-based methods of 3D planar-faced object reconstruction from single 2D line drawings, the missing depths of the vertices of a line drawing (and other parame...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
—The Grassmann manifold Gn,p (L) is the set of all p-dimensional planes (through the origin) in the n-dimensional Euclidean space Ln , where L is either R or C. This paper consid...