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» Building a Stochastic Dynamic Model of Application Use
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UAI
1998
13 years 10 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
WSC
1998
13 years 10 months ago
TAYLOR II Manufacturing Simulation Software
Taylor II is a menu-driven simulation package mainly used in manufacturing, warehousing, and material handling. It is developed for the analysis and quantitative evaluation of com...
William B. Nordgren
PAMI
2006
146views more  PAMI 2006»
13 years 9 months ago
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
A visual search is required when applying a recognition process on a scene containing multiple objects. In such cases, we would like to avoid an exhaustive sequential search. This...
Tamar Avraham, Michael Lindenbaum
ECCV
2004
Springer
14 years 11 months ago
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
Tamar Avraham, Michael Lindenbaum
ICASSP
2009
IEEE
13 years 6 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori