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IJCNN
2006
IEEE
14 years 1 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 9 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 9 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 11 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 7 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