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135
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DAGM
2006
Springer
15 years 7 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
113
Voted
WACV
2008
IEEE
15 years 9 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
JCS
2011
72views more  JCS 2011»
14 years 10 months ago
Automatically deriving information-theoretic bounds for adaptive side-channel attacks
We present a model of adaptive attacks which we combine with information-theoretic metrics to quantify the information revealed to an adaptive adversary. This enables us to expres...
Boris Köpf, David A. Basin
ICMCS
2008
IEEE
131views Multimedia» more  ICMCS 2008»
15 years 10 months ago
A novel contextual descriptors for category recognition
In this paper, we propose a novel contextual descriptor which combines the contextual information and local appearance. Based on Gibbs distribution, a local descriptor is designed...
Yi Ouyang, Ming Tang, Jian Cheng, Jinqiao Wang, Ha...
127
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CAINE
2007
15 years 4 months ago
A Novel Peak Detection Algorithm for Use in the Study of Machining Chip Segmentation
The study of how metal deforms and flows as parts are machined yields important insights into the metal cutting process. Improvements in high-speed digital imaging and image proce...
Eric Whitenton, Robert Ivester, Jarred Heigel