23 search results - page 1 / 5 » A fast revised simplex method for SVM training |
ICPR
2008
IEEE
13 years 11 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...
JMLR
2006
13 years 4 months ago
2006
We propose an active set algorithm to solve the convex quadratic programming (QP) problem which is the core of the support vector machine (SVM) training. The underlying method is ...
JMLR
2010
12 years 11 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Histograms are used in almost every aspect of computer vi-4 4 sion, from visual descriptors to image representations. Histogram Inter-5 5 section Kernel (HIK) and SVM classifiers ...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...