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» On Approximate Majority and Probabilistic Time
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ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
TIP
2011
255views more  TIP 2011»
14 years 4 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
INFOCOM
1995
IEEE
15 years 1 months ago
Automatic Alarm Correlation for Fault Identification
In communication networks, a large number of alarms exist to signal any abnormal behavior of the network. As network faults typically result in a number of alarms, correlating the...
Isabelle Rouvellou, George W. Hart
SI3D
2006
ACM
15 years 3 months ago
Variance shadow maps
Shadow maps are a widely used shadowing technique in real time graphics. One major drawback of their use is that they cannot be filtered in the same way as color textures, typica...
William Donnelly, Andrew Lauritzen
FOSSACS
2003
Springer
15 years 2 months ago
When Ambients Cannot Be Opened
rized Verification by Probabilistic Abstraction . . . . . . . . . . . . . . . . 87 Tamarah Arons, Amir Pnueli, Lenore Zuck Genericity and the π-Calculus . . . . . . . . . . . . ....
Iovka Boneva, Jean-Marc Talbot