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PAMI
2008
152views more  PAMI 2008»
13 years 10 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 11 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
BMCBI
2006
126views more  BMCBI 2006»
13 years 11 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
ICDE
2010
IEEE
874views Database» more  ICDE 2010»
14 years 10 months ago
UV-Diagram: A Voronoi Diagram for Uncertain Data
The Voronoi diagram is an important technique for answering nearest-neighbor queries for spatial databases. In this paper, we study how the Voronoi diagram can be used on uncertain...
Reynold Cheng, Xike Xie, Man Lung Yiu, Jinchuan Ch...
ICASSP
2008
IEEE
14 years 5 months ago
Minimum mean bayes risk error quantization of prior probabilities
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Kush R. Varshney, Lav R. Varshney