1514 search results - page 74 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
117
Voted
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
15 years 2 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
107
Voted
JMLR
2008
15 years 2 months ago
2008
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 ...
101
Voted
IJCAI
2007
15 years 4 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
142
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ACML
2009
Springer
15 years 6 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
103
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MLMI
2005
Springer
15 years 8 months ago
2005
Springer
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic feature...