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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ADC
2008
Springer
141views Database» more  ADC 2008»
15 years 4 months ago
Approximate Retrieval of XML Data with ApproXPath
Several XML query languages have been proposed that use XPath expressions to locate data. But XPath expressions might miss some data because of irregularities in the data and sche...
Lin Xu, Curtis E. Dyreson
SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
15 years 2 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...
SGP
2003
14 years 11 months ago
Approximating and Intersecting Surfaces from Points
Point sets become an increasingly popular shape representation. Most shape processing and rendering tasks require the approximation of a continuous surface from the point data. We...
Anders Adamson, Marc Alexa
CVPR
2004
IEEE
15 years 11 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...