231 search results - page 22 / 47 » Computational experience with exterior point algorithms for ... |
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
ICCV
2009
IEEE
14 years 11 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...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
Assume that we have two perspective images with known intrinsic parameters except for an unknown common focal length. It is a minimally constrained problem to find the relative or...
ECCV
2004
Springer
14 years 8 months ago
2004
Springer
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...