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ICIP
2005
IEEE
14 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
CVBIA
2005
Springer
14 years 1 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2005
IEEE
14 years 9 months ago
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framewo...
Iasonas Kokkinos, Petros Maragos
ICCV
2011
IEEE
12 years 7 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
ECCV
2006
Springer
14 years 9 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss