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ADMI
2010
Springer
13 years 9 months ago
Probabilistic Modeling of Mobile Agents' Trajectories
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Stepán Urban, Michal Jakob, Michal Pechouce...
FLAIRS
2004
13 years 9 months ago
Simulating Biological Motion Perception Using a Recurrent Neural Network
People have the ability to perceive biological motion under conditions of severely limited visual information. If the information is in the form of a point-light motion sequence o...
Roxanne L. Canosa
ESA
2006
Springer
130views Algorithms» more  ESA 2006»
13 years 11 months ago
Reporting Flock Patterns
Data representing moving objects is rapidly getting more available, especially in the area of wildlife GPS tracking. It is a central belief that information is hidden in large data...
Marc Benkert, Joachim Gudmundsson, Florian Hü...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
13 years 5 months ago
Pattern Mining over Star Schemas in the Onto4AR Framework
Storing data according to the multidimensional model, in particular following star schemas, has demonstrated to be one of the most adequate forms to ease the exploration of data. ...
Cláudia Antunes
ICPR
2002
IEEE
14 years 8 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard