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» Co-Tracking Using Semi-Supervised Support Vector Machines
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ICML
2005
IEEE
16 years 3 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
CGF
2008
85views more  CGF 2008»
15 years 2 months ago
Stylized Vector Art from 3D Models with Region Support
We describe a rendering system that converts a 3D meshed model into the stylized 2D filled-region vector-art commonly found in clip-art libraries. To properly define filled region...
Elmar Eisemann, Holger Winnemöller, John C. H...
120
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ICPR
2010
IEEE
15 years 5 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
CVPR
2001
IEEE
16 years 4 months ago
Support Vector Tracking
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
Shai Avidan
ACCV
2010
Springer
14 years 9 months ago
Efficient Structured Support Vector Regression
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
Ke Jia, Lei Wang, Nianjun Liu