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» Dimensionality Reduction with Adaptive Kernels
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PR
2008
129views more  PR 2008»
13 years 7 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
TSP
2011
152views more  TSP 2011»
13 years 2 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
IPPS
2006
IEEE
14 years 1 months ago
Elementary block based 2-dimensional dynamic and partial reconfiguration for Virtex-II FPGAs
The development of Field Programmable Gate Arrays (FPGAs) had tremendous improvements in the last few years. They were extended from simple logic circuits to complex Systems-on-Ch...
Michael Hübner, Christian Schuck, Jürgen...
WEBI
2005
Springer
14 years 29 days ago
Efficient Extraction of Closed Motivic Patterns in Multi-Dimensional Symbolic Representations of Music
In this paper, we present an efficient model for discovering repeated patterns in symbolic representations of music. Combinatorial redundancy inherent to the pattern discovery pa...
Olivier Lartillot
COLING
2008
13 years 9 months ago
Using Three Way Data for Word Sense Discrimination
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
Tim Van de Cruys