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NN
2006
Springer
108views Neural Networks» more  NN 2006»
13 years 4 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer
GI
2009
Springer
13 years 2 months ago
Tracking of Extended Objects and Group Targets using Random Matrices - A Performance Analysis
: The task of tracking extended objects or (partly) unresolvable group targets raises new challenges for both data association and track maintenance. Due to limited sensor resoluti...
Michael Feldmann, Dietrich Fraenken
ICDAR
2005
IEEE
13 years 10 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
DAC
2005
ACM
13 years 6 months ago
Mapping statistical process variations toward circuit performance variability: an analytical modeling approach
A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts bot...
Yu Cao, Lawrence T. Clark
ICPPW
2002
IEEE
13 years 9 months ago
A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...