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» On-line support vector machines and optimization strategies
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ICCV
2003
IEEE
15 years 2 months ago
SVM-based Nonparametric Discriminant Analysis, An Application to Face Detection
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
Rik Fransens, Jan De Prins, Luc J. Van Gool
98
Voted
ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 1 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
102
Voted
MVA
2007
133views Computer Vision» more  MVA 2007»
14 years 11 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
85
Voted
JUCS
2008
157views more  JUCS 2008»
14 years 9 months ago
Using Conjunctions and Adverbs for Author Verification
: Linguistics and stylistics have been investigated for author identification for quite a while, but recently, we have testified a impressive growth in the volume with which lawyer...
Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Just...
ACL
2009
14 years 7 months ago
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty