167 search results - page 21 / 34 » LIFT: A new framework of learning from testing data for face... |
HLK
2003
IEEE
14 years 1 months ago
2003
IEEE
Three-dimensional morphable models of object classes are a powerful tool in modeling, animation and recognition. We introduce here the new concept of regularized 3D morphable mode...
CVPR
2007
IEEE
14 years 3 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
PR
2006
13 years 8 months ago
2006
Sign language communication includes not only lexical sign gestures but also grammatical processes which represent inflections through systematic variations in sign appearance. We...
JMLR
2006
13 years 8 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...