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CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 10 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
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
13 years 11 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount

Publication
309views
14 years 7 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
FLAIRS
2008
14 years 3 days ago
Extending Nearest Neighbor Classification with Spheres of Confidence
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
Ulf Johansson, Henrik Boström, Rikard Kö...
DEXA
2007
Springer
173views Database» more  DEXA 2007»
14 years 4 months ago
A P2P Technique for Continuous k-Nearest-Neighbor Query in Road Networks
Due to the high frequency in location updates and the expensive cost of continuous query processing, server computation capacity and wireless communication bandwidth are the two li...
Fuyu Liu, Kien A. Hua, Tai T. Do