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EMMCVPR
2001
Springer
15 years 6 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
106
Voted
WCE
2007
15 years 3 months ago
On the Non-Gaussian Nature of Random Vehicle Vibrations
—This paper presents one of the outcomes of a research project concerned with the development of a method for synthesizing, under controlled conditions in the laboratory, the ran...
Vincent Rouillard
CORR
2006
Springer
115views Education» more  CORR 2006»
15 years 1 months ago
Entropy-optimal Generalized Token Bucket Regulator
Abstract-- We derive the maximum entropy of a flow (information utility) which conforms to traffic constraints imposed by a generalized token bucket regulator, by taking into accou...
Ashutosh Deepak Gore, Abhay Karandikar
ICPR
2008
IEEE
15 years 8 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
116
Voted
ISAAC
2004
Springer
87views Algorithms» more  ISAAC 2004»
15 years 7 months ago
Random Access to Advice Strings and Collapsing Results
We propose a model of computation where a Turing machine is given random access to an advice string. With random access, an advice string of exponential length becomes meaningful ...
Jin-yi Cai, Osamu Watanabe