12 search results - page 1 / 3 » Learning simple texture discrimination filters |
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
CEAS
2006
Springer
13 years 8 months ago
2006
Springer
We describe a very simple technique for discriminatively training a spam filter. Our results on the TREC Enron spam corpus would have been the best for the Ham at .1% measure, and...
NIPS
2008
13 years 6 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We address the problem of registering a sequence of images in a moving dynamic texture video. This involves optimization with respect to camera motion, the average image, and the ...