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» Incremental Knowledge Base for Uncertain Reasoning
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CVPR
2006
IEEE
14 years 9 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
EXACT
2008
13 years 9 months ago
Deriving Explanations From Partial Temporal Information
The representation and manipulation of natural human understanding of temporal phenomena is a fundamental field of study in Computer Science, which aims both to emulate human think...
Jixin Ma, Brian Knight, Miltos Petridis
FSKD
2006
Springer
298views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
Risk Assessment of E-Commerce Projects Using Evidential Reasoning
The purpose of this study is to develop a decision making system to evaluate the risks in E-Commerce (EC) projects. Competitive software businesses have the critical task of assess...
Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, ...
ISIPTA
1999
IEEE
116views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
On the Distribution of Natural Probability Functions
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...
Jeff B. Paris, Paul N. Watton, George M. Wilmers
AAAI
1997
13 years 8 months ago
Model-Theoretic Semantics and Tractable Algorithm for CNF-BCP
CNF-BCP is a well-known propositional reasoner that extends clausal Boolean Constraint Propagation (BCP) to non-clausal theories. Although BCP has efficient linear-time implementa...
Rahul Roy-Chowdhury, Mukesh Dalal