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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 2 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
IJCV
2006
192views more  IJCV 2006»
15 years 1 months ago
Piecewise-Smooth Dense Optical Flow via Level Sets
We propose a new algorithm for dense optical flow computation. Dense optical flow schemes are challenged by the presence of motion discontinuities. In state of the art optical flo...
Tomer Amiaz, Nahum Kiryati
IJON
2006
189views more  IJON 2006»
15 years 1 months ago
Storing and restoring visual input with collaborative rank coding and associative memory
Associative memory in cortical circuits has been held as a major mechanism for content-addressable memory. Hebbian synapses implement associative memory efficiently when storing s...
Martin Rehn, Friedrich T. Sommer
TMI
2008
138views more  TMI 2008»
15 years 1 months ago
Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events
With continuing improvements in spatial resolution of positron emission tomography (PET) scanners, small patient movements during PET imaging become a significant source of resolut...
Arman Rahmim, Katie Dinelle, Ju-Chieh Cheng, Mikha...
TMI
2008
136views more  TMI 2008»
15 years 1 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen