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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
17 years 16 days ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
EMMCVPR
2009
Springer
15 years 12 months ago
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
Abstract. Tracking is usually interpreted as finding an object in single consecutive frames. Regularization is done by enforcing temporal smoothness of appearance, shape and motio...
Markus Unger, Thomas Mauthner, Thomas Pock, Horst ...
TMI
2010
175views more  TMI 2010»
15 years 3 days ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ECCV
2010
Springer
15 years 10 months ago
Automatic Attribute Discovery and Characterization
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...
ECCV
2008
Springer
16 years 7 months ago
Background Subtraction on Distributions
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the comple...
Teresa Ko, Stefano Soatto, Deborah Estrin