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ICASSP
2010
IEEE
13 years 9 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
ICPR
2006
IEEE
14 years 9 months ago
A Minimum Sphere Covering Approach to Pattern Classification
In this paper we present a minimum sphere covering approach to pattern classification that seeks to construct a minimum number of spheres to represent the training data and formul...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
GREC
2005
Springer
14 years 2 months ago
Online Composite Sketchy Shape Recognition Using Dynamic Programming
This paper presents a solution for online composite sketchy shape recognition. The kernel of the strategy treats both stroke segmentation and sketch recognition as an optimization ...
Zhengxing Sun, Bo Yuan, Jianfeng Yin
NIPS
2001
13 years 10 months ago
Minimax Probability Machine
When constructing a classifier, the probability of correct classification of future data points should be maximized. In the current paper this desideratum is translated in a very ...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
JMLR
2008
140views more  JMLR 2008»
13 years 8 months ago
Aggregation of SVM Classifiers Using Sobolev Spaces
This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular ...
Sébastien Loustau