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» Using Gaussian Processes to Optimize Expensive Functions
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ICIP
2002
IEEE
14 years 9 months ago
Progressive image transmission over a noisy channel using wavelet transform and channel optimized vector quantization
This paper studies a progressive image transmission technique over waveform channels. The Channel Optimized Vector Quantization codec (COVQ) [1] is applied to the image wavelet co...
Inmaculada García, José L. Pé...
ICASSP
2011
IEEE
12 years 11 months ago
MIMO radar diversity with Neyman-Pearson signal detection in non-Gaussian circumstance with non-orthogonal waveforms
The diversity gain of a multiple-input multiple-output (MIMO) system adopting the Neyman-Pearson (NP) criterion is derived for a signal-present versus signal-absent scalar hypothe...
Qian He, Rick S. Blum
JMLR
2012
11 years 10 months ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
DAC
2009
ACM
14 years 8 months ago
Timing-driven optimization using lookahead logic circuits
This paper describes a function-based timing-driven optimization technique for the synthesis of multi-level logic circuits. Motivated by the principles of parallel prefix computat...
Mihir R. Choudhury, Kartik Mohanram
TEC
1998
106views more  TEC 1998»
13 years 7 months ago
Combining mutation operators in evolutionary programming
Abstract— Traditional investigations with evolutionary programming (EP) for continuous parameter optimization problems have used a single mutation operator with a parameterized p...
Kumar Chellapilla