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CVPR
2007
IEEE
16 years 1 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
ICMCS
2007
IEEE
127views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Joint Motion and Color Statistical Video Processing for Motion Segmentation
Vast amounts of digital multimedia data are being produced and distributed today, so methods for the efficient and reliable extraction of information from video data are becoming...
Alexia Briassouli, Vasileios Mezaris, Yiannis Komp...
ACL
2004
15 years 1 months ago
A Joint Source-Channel Model for Machine Transliteration
Most foreign names are transliterated into Chinese, Japanese or Korean with approximate phonetic equivalents. The transliteration is usually achieved through intermediate phonemic...
Haizhou Li, Min Zhang, Jian Su
ICASSP
2011
IEEE
14 years 3 months ago
Joint disparity and optical flow by correspondence growing
The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of image...
Jan Cech, Radu Horaud
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CVPR
2010
IEEE
15 years 3 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu