177 search results - page 18 / 36 » K-means clustering via principal component analysis |
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
NIPS
2003
13 years 9 months ago
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...
TIP
2008
13 years 7 months ago
2008
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
IVC
1998
13 years 7 months ago
1998
We consider the problem of metrically reconstructing a scene viewed by a moving stereo head. The head comprises two cameras with coplanar optical axes arranged on a lateral rig, e...
ICC
2009
IEEE
14 years 2 months ago
2009
IEEE
— The aim of this paper is quality prediction for streaming MPEG4 video sequences over wireless networks for all video content types. Video content has an impact on video quality...