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» Co-Tracking Using Semi-Supervised Support Vector Machines
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ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
15 years 11 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street
AIRS
2005
Springer
15 years 11 months ago
Home Photo Categorization Based on Photographic Region Templates
In this paper, we propose new photo categorization which is suitable for a home photo album. To enhance the categorization, both local and global concepts of the photos are modeled...
Sang-Kyun Kim, Seungji Yang, Kyong Sok Seo, Yong M...
AVBPA
2005
Springer
316views Biometrics» more  AVBPA 2005»
15 years 11 months ago
Local Feature Based 3D Face Recognition
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Sh...
IBPRIA
2005
Springer
15 years 11 months ago
An Approach to Vision-Based Person Detection in Robotic Applications
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...
Carlos D. Castillo, Carolina Chang
MCS
2005
Springer
15 years 11 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...