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» The Computational Structure of Progress Conditions
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CSIE
2009
IEEE
15 years 4 months ago
Discriminative Random Fields for Behavior Modeling
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
Tianyu Huang, Chongde Shi, Fengxia Li
FOCS
2009
IEEE
15 years 4 months ago
Convergence to Equilibrium in Local Interaction Games
— We study a simple game theoretic model for the spread of an innovation in a network. The diffusion of the innovation is modeled as the dynamics of a coordination game in which ...
Andrea Montanari, Amin Saberi
ICPR
2008
IEEE
15 years 4 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
BIRTHDAY
2005
Springer
15 years 3 months ago
Main Concepts of Networks of Transformation Units with Interlinking Semantics
The aim of this paper is to introduce a modelling concept and structuring principle for rule-based systems the semantics of which is not restricted to a sequential behavior, but ca...
Dirk Janssens, Hans-Jörg Kreowski, Grzegorz R...
ICCV
2003
IEEE
15 years 3 months ago
Markov-Based Failure Prediction for Human Motion Analysis
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...