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» Domain equations for probabilistic processes
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AIME
2001
Springer
15 years 12 months ago
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
Abstract. Cancer spread is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should...
Severino F. Galán, Francisco Aguado, Franci...
WSC
2004
15 years 8 months ago
Visual Modeling of Business Problems: Workflow and Patterns
Computer-based business analysis relies on models, or algorithmic representations of the business process. Real-life business problems can become very complex, which creates diffi...
Lev Virine, Jason McVean
ICASSP
2009
IEEE
15 years 5 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
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CIKM
2009
Springer
16 years 12 hour ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
ICIP
2002
IEEE
16 years 9 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong