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» Statistical Models of Conditioning
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200
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ICIP
2005
IEEE
16 years 9 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
132
Voted
IAT
2008
IEEE
16 years 1 months ago
Emergent Spatial Agent Segregation
Animat agents are usually formulated as spatially located agents that interact according to some microscopic behavioural rules. We use our predator-prey animat model to explore sp...
Kenneth A. Hawick, Chris Scogings
SSPR
2004
Springer
16 years 22 days ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
191
Voted
SSIAI
2000
IEEE
15 years 11 months ago
Unsupervised Dempster-Shafer Fusion of Dependent Sensors
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
Wojciech Pieczynski
CICLING
2006
Springer
15 years 11 months ago
Unsupervised Learning of Verb Argument Structures
We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 mo...
Thiago Alexandre Salgueiro Pardo, Daniel Marcu, Ma...