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» Improved Adomian decomposition method
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SGAI
2005
Springer
14 years 1 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
MANSCI
2007
139views more  MANSCI 2007»
13 years 7 months ago
A Market-Based Optimization Algorithm for Distributed Systems
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
Zhiling Guo, Gary J. Koehler, Andrew B. Whinston
FMCAD
2000
Springer
13 years 11 months ago
An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps
We present a symbolic algorithm for strongly connected component decomposition. The algorithm performs (n log n) image and preimage computations in the worst case, where n is the n...
Roderick Bloem, Harold N. Gabow, Fabio Somenzi
VTC
2008
IEEE
102views Communications» more  VTC 2008»
14 years 1 months ago
A New Two-Step Precoding Based on Rotation Transformations in Closed-Loop MIMO Systems
— In this paper, we propose a two-step precoding approach for multiple-input multiple-output (MIMO) systems by dividing the precoding process into two steps: spatial multiplexing...
Heunchul Lee, Seokhwan Park, Inkyu Lee
ACIVS
2008
Springer
14 years 1 months ago
Robust Curvature Extrema Detection Based on New Numerical Derivation
Abstract. Extrema of curvature are useful key points for different image analysis tasks. Indeed, polygonal approximation or arc decomposition methods used often these points to ini...
Cédric Join, Salvatore Tabbone