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» Detection of Stochastic Processes
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149
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ICDT
2010
ACM
147views Database» more  ICDT 2010»
15 years 4 months ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
SODA
2012
ACM
229views Algorithms» more  SODA 2012»
13 years 3 months ago
Approximation algorithms for stochastic orienteering
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
Anupam Gupta, Ravishankar Krishnaswamy, Viswanath ...
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 25 days ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
101
Voted
SIBGRAPI
1999
IEEE
15 years 5 months ago
An Image Processing and Belief Network Approach to Face Detection
This work describes an approach for face detection, which is the rst stage of any fully automatedhumanface recognition system. We propose several enhancements to a feature-based ap...
Paulo Sérgio de Souza Coelho, Claudio Esper...
107
Voted
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
15 years 6 months ago
A continuous time markov decision process based on-chip buffer allocation methodology
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
Sankalp Kallakuri, Nattawut Thepayasuwan, Alex Dob...