1126 search results - page 79 / 226 » Strong Feature Sets from Small Samples |
NIPS
2007
13 years 9 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
ISSTA
2004
ACM
14 years 1 months ago
2004
ACM
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
COLING
2002
13 years 7 months ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In an 2D echocardiogram exam, an ultrasound probe
samples the heart with 2D slices. Changing the orientation
and position on the probe changes the slice viewpoint, altering
the ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...