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145
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VLSISP
2002
139views more  VLSISP 2002»
15 years 3 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
137
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MCS
2008
Springer
15 years 3 months ago
Dynamical low-rank approximation: applications and numerical experiments
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Achim Nonnenmacher, Christian Lubich
144
Voted
IJRR
2010
160views more  IJRR 2010»
15 years 2 months ago
Pedestrian Detection and Tracking Using Three-dimensional LADAR Data
The approach investigated in this work employs three-dimensional LADAR measurements to detect and track pedestrians over time. The sensor is employed on a moving vehicle. The algo...
Luis E. Navarro-Serment, Christoph Mertz, Martial ...
113
Voted
MCS
2010
Springer
15 years 2 months ago
Application of Biased Metropolis Algorithms: From protons to proteins
We show that sampling with a biased Metropolis scheme is essentially equivalent to using the heatbath algorithm. However, the biased Metropolis method can also be applied when an ...
Alexei Bazavov, Bernd A. Berg, Huan-Xiang Zhou
119
Voted
MCS
2010
Springer
15 years 2 months ago
MinT - Architecture and applications of the (t, m, s)-net and OOA database
Many different constructions for (t, m, s)-nets and (t, s)-sequences are known today. Propagation rules as well as connections to other mathematical objects make it difficult to ...
Rudolf Schürer, Wolfgang Ch. Schmid