1252 search results - page 168 / 251 » Minimizing Learned Clauses |
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
ECCV
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
CVIU
2008
14 years 10 months ago
2008
We address the 3D volume reconstruction problem from depth adjacent sub-volumes acquired by a confocal laser scanning microscope (CLSM). Our goal is to align the sub-volumes by es...
TIT
2008
14 years 9 months ago
2008
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...