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CCA
2000
Springer
15 years 6 months ago
A Computable Spectral Theorem
Computing the spectral decomposition of a normal matrix is among the most frequent tasks to numerical mathematics. A vast range of methods are employed to do so, but all of them su...
Martin Ziegler, Vasco Brattka
SGAI
2005
Springer
15 years 7 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...
112
Voted
JCP
2008
178views more  JCP 2008»
15 years 2 months ago
Building Design Optimization Using Sequential Linear Programming
-In this paper a nonlinear programming approach is used for the minimization of total communication cost to determine the optimum room dimensions for each room. The nonlinear progr...
Rekha Bhowmik
ICASSP
2008
IEEE
15 years 8 months ago
Impact of channel estimation error on performance of adaptive MIMO systems
Adaptive modulation scheme has been widely used in multipleinput multiple-output (MIMO) systems to enhance the spectral efficiency while maintaining the bit-error-rate (BER) unde...
Jinliang Huang, Svante Signell
MVA
2000
122views Computer Vision» more  MVA 2000»
15 years 3 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...