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» SVM for Edge-Preserving Filtering
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ICPR
2002
IEEE
14 years 18 days ago
Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination
Most eye trackers based on active IR illumination require distinctive bright pupil effect to work well. However, due to a variety of factors such as eye closure, eye occlusion, an...
Zhiwei Zhu, Qiang Ji, Kikuo Fujimura, Kuangchih Le...
SIGIR
2006
ACM
14 years 1 months ago
On-line spam filter fusion
We show that a set of independently developed spam filters may be combined in simple ways to provide substantially better filtering than any of the individual filters. The resu...
Thomas R. Lynam, Gordon V. Cormack, David R. Cheri...
ACL
2011
12 years 11 months ago
Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
Colin Cherry, Shane Bergsma
ICMCS
2006
IEEE
198views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Face Segmentation under Unconstrained Scenes
In this paper, an efficient approach by combining the novel wavelet-based feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering is prese...
Jing-Wein Wang
WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...