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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 9 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
ICIP
2000
IEEE
14 years 10 months ago
Spatially Adaptive Image Denoising Under OverComplete Expansion
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Xin Li, Michael T. Orchard
MICRO
2003
IEEE
124views Hardware» more  MICRO 2003»
14 years 2 months ago
Optimum Power/Performance Pipeline Depth
The impact of pipeline length on both the power and performance of a microprocessor is explored both theoretically and by simulation. A theory is presented for a wide range of pow...
Allan Hartstein, Thomas R. Puzak
AE
1997
Springer
14 years 27 days ago
Adaptation on the Evolutionary Time Scale: A Working Hypothesis and Basic Experiments
In the pertinent literature, an ongoing discussion can be found about whether evolutionary algorithms are better suited for optimization or adaptation. Unfortunately, the pertinent...
Ralf Salomon, Peter Eggenberger
CVPR
2007
IEEE
14 years 3 months ago
Target Tracking with Online Feature Selection in FLIR Imagery
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
Vijay Venkataraman, Guoliang Fan, Xin Fan