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JSA
2007
84views more  JSA 2007»
15 years 3 months ago
Optimizing data structures at the modeling level in embedded multimedia
Traditional design techniques for embedded systems apply transformations on the source code to optimize hardwarerelated cost factors. Unfortunately, such transformations cannot ad...
Marijn Temmerman, Edgar G. Daylight, Francky Catth...
TWC
2008
116views more  TWC 2008»
15 years 3 months ago
Optimal Sliding Correlator Channel Sounder Design
The sliding correlator technique remains one of the most versatile and effective methods for sounding the radio propagation channel in next-generation wireless systems. Despite the...
Ryan Jesse Pirkl, Greg Durgin
IJON
2002
91views more  IJON 2002»
15 years 2 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
TSMC
2002
98views more  TSMC 2002»
15 years 2 months ago
The STAR automaton: expediency and optimality properties
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Anastasios A. Economides, Athanasios Kehagias
CIKM
2010
Springer
15 years 1 months ago
A unified optimization framework for robust pseudo-relevance feedback algorithms
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
Joshua V. Dillon, Kevyn Collins-Thompson