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AGI
2011
12 years 11 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
TACAS
2000
Springer
138views Algorithms» more  TACAS 2000»
13 years 11 months ago
Symbolic Model Checking of Probabilistic Processes Using MTBDDs and the Kronecker Representation
This paper reports on experimental results with symbolic model checking of probabilistic processes based on Multi-Terminal Binary Decision Diagrams (MTBDDs). We consider concurrent...
Luca de Alfaro, Marta Z. Kwiatkowska, Gethin Norma...
ICIAP
2001
Springer
14 years 7 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...
TIP
2008
165views more  TIP 2008»
13 years 7 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
CORR
2000
Springer
85views Education» more  CORR 2000»
13 years 7 months ago
Conditional Plausibility Measures and Bayesian Networks
A general notion of algebraic conditional plausibility measures is de ned. Probability measures, ranking functions, possibility measures, and under the appropriate de nitions sets...
Joseph Y. Halpern