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SODA
2001
ACM
147views Algorithms» more  SODA 2001»
13 years 10 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
VLDB
2004
ACM
227views Database» more  VLDB 2004»
14 years 2 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...
ICIP
2004
IEEE
14 years 10 months ago
Efficient classification of scanned media using spatial statistics
We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
Gozde B. Unal, Gaurav Sharma, Reiner Eschbach
ISAAC
2005
Springer
90views Algorithms» more  ISAAC 2005»
14 years 2 months ago
Approximate Colored Range Queries
In this paper, we formulate a class of colored range query problems to model the multi-dimensional range queries in the presence of categorical information. By applying appropriate...
Ying Kit Lai, Chung Keung Poon, Benyun Shi
ICTAI
2006
IEEE
14 years 2 months ago
An Approximation to Mean-Shift via Swarm Intelligence
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
Mani Thomas, Chandra Kambhamettu