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EMMCVPR
2005
Springer
14 years 1 months ago
An Adaptive Variational Model for Image Decomposition
Abstract. We propose a new model for image decomposition which separates an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of ...
Stacey Levine
DAC
2006
ACM
14 years 8 months ago
An adaptive FPGA architecture with process variation compensation and reduced leakage
Process induced threshold voltage variations bring about fluctuations in circuit delay, that affect the FPGA timing yield. We propose an adaptive FPGA architecture that compensate...
Georges Nabaa, Navid Azizi, Farid N. Najm
ICASSP
2011
IEEE
12 years 11 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
ICASSP
2010
IEEE
13 years 7 months ago
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
MICRO
2009
IEEE
120views Hardware» more  MICRO 2009»
14 years 2 months ago
Tribeca: design for PVT variations with local recovery and fine-grained adaptation
With continued advances in CMOS technology, parameter variations are emerging as a major design challenge. Irregularities during the fabrication of a microprocessor and variations...
Meeta Sharma Gupta, Jude A. Rivers, Pradip Bose, G...