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» Image Categorization Using Local Probabilistic Descriptors
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CVPR
2008
IEEE
14 years 11 months ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani
ISBI
2007
IEEE
14 years 3 months ago
Clustering on Local Appearance for Deformable Model Segmentation
We present a novel local region approach for statistically characterizing appearance in the context of medical image segmentation via deformable models. Our appearance model refl...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
CVPR
2005
IEEE
14 years 11 months ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...
PAMI
2010
184views more  PAMI 2010»
13 years 7 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...
MICCAI
2008
Springer
14 years 3 months ago
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
Peter Mountney and Guang-Zhong Yang