Sciweavers

3251 search results - page 262 / 651
» On a vector q-d algorithm
Sort
View
142
Voted
ICML
2005
IEEE
16 years 4 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
146
Voted
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ICMCS
2007
IEEE
105views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Enhanced Shot Change Detection using Motion Features for Soccer Video Analysis
An enhanced shot change detection algorithm for soccer video analysis is proposed in this paper. Features extracted from reliable motion vectors (MVs) are used to enhance the accu...
Yichuan Hu, Bo Han, Guijin Wang, Xinggang Lin
COLT
2005
Springer
15 years 9 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
126
Voted
ECML
2001
Springer
15 years 8 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker