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» Nearest Neighbor Distributions and Noise Variance Estimation
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ICPR
2008
IEEE
13 years 11 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...
PODS
1997
ACM
182views Database» more  PODS 1997»
13 years 9 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 6 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
TSP
2010
12 years 11 months ago
Source extraction by maximizing the variance in the conditional distribution tails
This paper presents a method for signal extraction based on conditional second-order moments of the output of the extraction filter. The estimator of the filter is derived from an ...
Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu
ESANN
2003
13 years 6 months ago
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...