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PAMI
2007
123views more  PAMI 2007»
13 years 10 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
ICIP
2004
IEEE
15 years 15 days ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
ICIP
1998
IEEE
14 years 3 months ago
Face Detection and Recognition using Hidden Markov Models
Ara V. Nefian, Monson H. Hayes III
ICCV
2003
IEEE
15 years 24 days ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
MICCAI
2009
Springer
15 years 1 days ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam