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IJCNN
2006
IEEE
13 years 11 months ago
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
Boris Jansen, Kenji Nakayama
CHES
2008
Springer
132views Cryptology» more  CHES 2008»
13 years 7 months ago
Light-Weight Instruction Set Extensions for Bit-Sliced Cryptography
Bit-slicing is a non-conventional implementation technique for cryptographic software where an n-bit processor is considered as a collection of n 1-bit execution units operating in...
Philipp Grabher, Johann Großschädl, Dan...
VCIP
2001
113views Communications» more  VCIP 2001»
13 years 6 months ago
Novel sequential error concealment techniques using orientation adaptive interpolation
This paper introduces a new framework for error concealment in block-based image coding systems: sequential recovery. Unlike previous approaches that simultaneously recover the pix...
Xin Li, Michael T. Orchard
EUC
2006
Springer
13 years 9 months ago
Custom Instruction Generation Using Temporal Partitioning Techniques for a Reconfigurable Functional Unit
Extracting appropriate custom instructions is an important phase for implementing an application on an extensible processor with a reconfigurable functional unit (RFU). Custom inst...
Farhad Mehdipour, Hamid Noori, Morteza Saheb Zaman...
IOR
2006
163views more  IOR 2006»
13 years 5 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja