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» A New Discriminative Kernel From Probabilistic Models
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ICIP
2008
IEEE
15 years 11 months ago
Cooperative disparity and object boundary estimation
In this paper we carry out cooperatively both disparity and object boundary estimation by setting the two tasks in a unified Markovian framework. We introduce a new joint probabil...
Ramya Narasimha, Elise Arnaud, Florence Forbes, Ra...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 3 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 2 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
CC
2008
Springer
124views System Software» more  CC 2008»
14 years 11 months ago
Coqa: Concurrent Objects with Quantized Atomicity
This paper introduces a new language model, Coqa, for deeply embedding concurrent programming into objects. Every program written in our language has the desirable behaviors of ato...
Yu David Liu, Xiaoqi Lu, Scott F. Smith
ICCV
2005
IEEE
15 years 11 months ago
Detecting Irregularities in Images and in Video
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
Oren Boiman, Michal Irani