990 search results - page 152 / 198 » Evolving kernels for support vector machine classification |
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
COLT
2004
Springer
15 years 5 months 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...
89
Voted
CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We introduce a method to accelerate the evaluation of object detection cascades with the help of a divide-andconquer procedure in the space of candidate regions. Compared to the e...
57
Voted
LREC
2010
15 years 1 months ago
2010
This paper addresses the recognition of elderly callers based on short and narrow-band utterances, which are typical for Interactive Voice Response (IVR) systems. Our study is bas...
JMLR
2006
14 years 11 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...