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» Semi-Markov Models for Sequence Segmentation
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PCM
2001
Springer
150views Multimedia» more  PCM 2001»
15 years 3 months ago
Unsupervised Analysis of Human Gestures
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individu...
Tianshu Wang, Heung-Yeung Shum, Ying-Qing Xu, Nann...
JCB
2006
215views more  JCB 2006»
14 years 11 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
RECOMB
2003
Springer
15 years 11 months ago
Accurate detection of very sparse sequence motifs
Protein sequence alignments are more reliable the shorter the evolutionary distance. Here, we align distantly related proteins using many closely spaced intermediate sequences as ...
Andreas Heger, Michael Lappe, Liisa Holm
CVPR
2000
IEEE
16 years 1 months ago
Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences
Scene ow is the 3D motion eld of points in the world. Given N (N > 1) image sequences gather ed with a N-eye stereo camera or N calibrated cameras, we present a novel system wh...
Ye Zhang, Chandra Kambhamettu
CVPR
2008
IEEE
16 years 1 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...