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» Fuzzy Observable Markov Models for Pattern Recognition
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 6 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
SSPR
2004
Springer
15 years 2 months ago
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
FSS
2008
108views more  FSS 2008»
14 years 9 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ICML
2008
IEEE
15 years 10 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
RSCTC
2000
Springer
122views Fuzzy Logic» more  RSCTC 2000»
15 years 29 days ago
Computer Vision Using Fuzzy Logic for Robot Manipulator
: This paper presents a Lab. implementation of a computer vision using fuzzy models for pattern recognition for the detection of boundaries in images obtained through a camera inst...
Adriano Breunig, Haroldo R. de Azevedo, Edilberto ...