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APPLICATION TO IMAGE SEGMENTATION

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collaborative filteringconditional random fieldsbelief propagationneural networkmotion analysisprobabilistic modelartificial intelligenceapplication to image segmentationlevel set based segmentationprobabilistic graphical modelsparameter estimationmedical imagesepipolar geometryhigher orderlanguage modelcamera motionunsupervised learningmatching algorithmhidden variablesexact inferencesubspace clusteringmanual segmentationleast squaresgraphical modelsfeature extraction and matchingvideo sequences
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application to image segmentationimage segmentationmachine learningimage processingfirst order logicimage analysiscomputer visionimage representationsegmentation methodbelief propagation
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