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» Non-Parametric Probabilistic Image Segmentation
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CVPR
2007
IEEE
14 years 9 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
MICCAI
2001
Springer
14 years 6 days ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
MICCAI
2010
Springer
13 years 6 months ago
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
Abstract. A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest fra...
Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, ...
DAGM
1998
Springer
14 years 10 hour ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CVPR
1999
IEEE
14 years 9 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann