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» Non-parametric Nearest Neighbor with Local Adaptation
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CVPR
2000
IEEE
13 years 9 months ago
Adaptive Metric nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Pen...
SADM
2010
196views more  SADM 2010»
13 years 21 days ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 6 months ago
Fast k Nearest Neighbor Search using GPU
Statistical measures coming from information theory represent interesting bases for image and video processing tasks such as image retrieval and video object tracking. For example...
Vincent Garcia, Eric Debreuve, Michel Barlaud
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 6 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

Publication
309views
14 years 3 months ago
Improving Nearest Neighbor Classification with Cam Weighted Distance
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
Changyin Zhou, Yanqiu Chen