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» Depth as Randomness Deficiency
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EMMCVPR
2001
Springer
15 years 10 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
WCE
2007
15 years 7 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 5 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
16 years 9 days 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...
ISAAC
2004
Springer
87views Algorithms» more  ISAAC 2004»
15 years 11 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