325 search results - page 14 / 65 » Quadratic Programming Feature Selection |
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
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EPS
1998
Springer
15 years 1 months ago
1998
Springer
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
We present an approach to jointly solve the segmentation and recognition problem using a multiple segmentation framework. We formulate the problem as segment selection from a pool...
CSREAESA
2004
14 years 11 months ago
2004
For many years, C has been known as a fast, yet unfriendly language. Similarly, Java presents its own trade-offs, including more advanced language features at the cost of slower ex...