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JCNS
2000
165views more  JCNS 2000»
15 years 6 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
13 years 9 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...
RECOMB
2006
Springer
16 years 7 months ago
Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
Stefanie Scheid, Rainer Spang
ISNN
2009
Springer
16 years 1 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
ISPD
1998
ACM
111views Hardware» more  ISPD 1998»
15 years 11 months ago
A pattern matching algorithm for verification and analysis of very large IC layouts
We propose a simple, isometry invariant pattern matching algorithm for an effective data reduction useful in layout-related data processing of very complex IC designs. The repeata...
Mariusz Niewczas, Wojciech Maly, Andrzej J. Strojw...