326 search results - page 32 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
SMA
2009
ACM
14 years 2 months ago
2009
ACM
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
NIPS
2000
13 years 9 months ago
2000
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
NIPS
2003
13 years 9 months ago
2003
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...