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» Modeling High-Order Dependencies in Local Appearance Models
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ECCV
2008
Springer
15 years 8 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
MOBIHOC
2005
ACM
16 years 6 months ago
A secure ad-hoc routing approach using localized self-healing communities
Mobile ad hoc networks (MANETs) are vulnerable to routing attacks, especially attacks launched by non-cooperative (selfish or compromised) network members and appear to be protoco...
Jiejun Kong, Xiaoyan Hong, Yunjung Yi, Joon-Sang P...
ICIP
2008
IEEE
16 years 8 months ago
Tracking through changes in scale
We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase tem...
Allen Tannenbaum, Arie Nakhmani, James G. Malcolm,...
ICIP
2005
IEEE
16 years 8 months ago
Locally adaptive multiscale contrast optimization
We describe a method for automatically and adaptively boosting the visibility of local features in an image. A log intensity image is first decomposed into a set of subbands at mu...
Nicolas Bonnier, Eero P. Simoncelli
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
15 years 10 months ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao