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» A variational multi-view learning framework and its applicat...
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MM
2006
ACM
152views Multimedia» more  MM 2006»
13 years 11 months ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
EMMCVPR
2007
Springer
13 years 11 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
TMI
2002
259views more  TMI 2002»
13 years 4 months ago
3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images
A model-based method for three-dimensional image segmentation was developed and its performance assessed in segmentation of volumetric cardiac magnetic resonance (MR) images and ec...
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 2 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
ECCV
2000
Springer
14 years 7 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...