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NIPS
2008
15 years 7 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
IJCV
2006
145views more  IJCV 2006»
15 years 6 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
ASIAMS
2007
IEEE
16 years 20 days ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
ICIP
2004
IEEE
16 years 8 months ago
A novel progressive thick slab paradigm for volumetric medical image compression and navigation
In this paper, we propose a novel thick slab paradigm which provides an efficient scheme to navigate through large three dimensional (3-D) medical data sets within the framework o...
S. V. Bharath Kumar, Sudipta Mukhopadhyay, Vishram...
CORIA
2011
14 years 10 months ago
Mining the Web for lists of Named Entities
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...