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» An Improved Analysis of Linear Mergers
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IJCAI
2007
13 years 11 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 4 months ago
AWGN Channel Analysis of Terminated LDPC Convolutional Codes
— It has previously been shown that ensembles of terminated protograph-based low-density parity-check (LDPC) convolutional codes have a typical minimum distance that grows linear...
David G. M. Mitchell, Michael Lentmaier, Daniel J....
JMLR
2006
389views more  JMLR 2006»
13 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
CHES
2005
Springer
155views Cryptology» more  CHES 2005»
14 years 3 months ago
Scalable Hardware for Sparse Systems of Linear Equations, with Applications to Integer Factorization
Motivated by the goal of factoring large integers using the Number Field Sieve, several special-purpose hardware designs have been recently proposed for solving large sparse system...
Willi Geiselmann, Adi Shamir, Rainer Steinwandt, E...
TASLP
2010
153views more  TASLP 2010»
13 years 8 months ago
On Optimal Frequency-Domain Multichannel Linear Filtering for Noise Reduction
Abstract—Several contributions have been made so far to develop optimal multichannel linear filtering approaches and show their ability to reduce the acoustic noise. However, th...
Mehrez Souden, Jacob Benesty, Sofiène Affes