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CASES
2010
ACM
13 years 4 months ago
Optimizing energy to minimize errors in dataflow graphs using approximate adders
Approximate arithmetic is a promising, new approach to lowenergy designs while tackling reliability issues. We present a method to optimally distribute a given energy budget among...
Zvi M. Kedem, Vincent John Mooney, Kirthi Krishna ...
ICPR
2006
IEEE
14 years 8 months ago
Image Renaissance Using Discrete Optimization
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...
Cédric Allène, Nikos Paragios
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 11 months ago
Filter approximation using explicit time and frequency domain specifications
We demonstrate that enhanced particle swarm optimization (PSO) can be successfully used to evolve high performance filter approximations. These evolved approximations use sets of ...
Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly
JGTOOLS
2008
168views more  JGTOOLS 2008»
13 years 7 months ago
Efficient, High-Quality Bayer Demosaic Filtering on GPUs
This paper describes a series of optimizations for implementing the high-quality Malvar-He-Cutler Bayer demosaicing filter on a GPU in OpenGL. Applying this filter is the first st...
Morgan McGuire
ATAL
2010
Springer
13 years 9 months ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer