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AMC
2008
99views more  AMC 2008»
14 years 11 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
CVPR
2012
IEEE
13 years 1 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
129
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CVPR
2012
IEEE
13 years 1 months ago
Augmenting deformable part models with irregular-shaped object patches
The performance of part-based object detectors generally degrades for highly flexible objects. The limited topological structure of models and pre-specified part shapes are two ...
Roozbeh Mottaghi
ECAI
2008
Springer
15 years 27 days ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
VAMOS
2010
Springer
15 years 17 days ago
Variability Modelling for Model-Driven Development of Software Product Lines
Model-driven development of software-intensive systems aims at designing systems by stepwise model refinement. In order to create software product lines by model-driven development...
Ina Schaefer