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NPL
2006
100views more  NPL 2006»
13 years 9 months ago
Constrained Projection Approximation Algorithms for Principal Component Analysis
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...
Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 9 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ISNN
2009
Springer
14 years 3 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»
14 years 1 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...
EOR
2008
88views more  EOR 2008»
13 years 9 months ago
Algorithmic analysis of the Geo/Geo/c
In this paper, we consider a discrete-time queue of Geo/Geo/c type with geometric repeated attempts. It is known that its continuous counterpart, namely the M/M/c queue with expon...
Jesus R. Artalejo, Antonis Economou, Antonio G&oac...