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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 10 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
SETN
2004
Springer
14 years 3 months ago
Computationally Intelligent Methods for Mining 3D Medical Images
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
Despina Kontos, Vasileios Megalooikonomou, Fillia ...
SPATIALCOGNITION
1998
Springer
14 years 2 months ago
Human Place Learning in a Computer Generated Arena
We describe the development of a computer-generated arena within which one can study human place learning by asking subjects to locate an invisible target. A series of studies demo...
L. Nadel, K. G. F. Thomas, H. E. Laurance, R. Skel...
IJON
2006
56views more  IJON 2006»
13 years 10 months ago
A computational model of anterior intraparietal (AIP) neurons
The monkey parietal anterior intraparietal area (AIP) is part of the grasp planning and execution circuit which contains neurons that encode object features relevant for grasping,...
Erhan Oztop, Hiroshi Imamizu, Gordon Cheng, Mitsuo...
NECO
2006
118views more  NECO 2006»
13 years 10 months ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen