227 search results - page 33 / 46 » A PAC Bound for Approximate Support Vector Machines |
JMLR
2002
13 years 7 months ago
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
AIA
2007
13 years 8 months ago
2007
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
COLT
2004
Springer
14 years 23 days ago
2004
Springer
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
ICIAR
2004
Springer
14 years 22 days ago
2004
Springer
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...