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IJPRAI
2006
100views more  IJPRAI 2006»
13 years 7 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
PRL
2007
137views more  PRL 2007»
13 years 7 months ago
Improving nearest neighbor rule with a simple adaptive distance measure
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
JPDC
2006
106views more  JPDC 2006»
13 years 7 months ago
Computing nearest neighbors in real time
The nearest-neighbor method can successfully be applied to correct possible errors induced into bit strings transmitted over noisy communication channels or to classify samples in...
Marius Nagy, Selim G. Akl
ICPR
2008
IEEE
14 years 1 months ago
A stochastic nearest neighbor character prototype approach for online writer identification
One novel technique for identifying the writer of an online handwritten document is proposed. This technique makes use of a character prototype distribution to model the specific ...
Guo Xian Tan, Christian Viard-Gaudin, Alex ChiChun...
SODA
2004
ACM
111views Algorithms» more  SODA 2004»
13 years 8 months ago
Almost-Delaunay simplices: nearest neighbor relations for imprecise points
Delaunay tessellations and Voronoi diagrams capture proximity relationships among sets of points in any dimension. When point coordinates are not known exactly, as in the case of ...
Deepak Bandyopadhyay, Jack Snoeyink