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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 4 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
ICISP
2010
Springer
15 years 1 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
CGF
2011
14 years 4 months ago
A Parallel SPH Implementation on Multi-Core CPUs
This paper presents a parallel framework for simulating fluids with the Smoothed Particle Hydrodynamics (SPH) method. For low computational costs per simulation step, efficient ...
Markus Ihmsen, Nadir Akinci, Markus Becker, Matthi...
SIGMETRICS
2011
ACM
229views Hardware» more  SIGMETRICS 2011»
14 years 25 days ago
Model-driven optimization of opportunistic routing
Opportunistic routing aims to improve wireless performance by exploiting communication opportunities arising by chance. A key challenge in opportunistic routing is how to achieve ...
Eric Rozner, Mi Kyung Han, Lili Qiu, Yin Zhang