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» CURE: An Efficient Clustering Algorithm for Large Databases
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ICDE
2007
IEEE
117views Database» more  ICDE 2007»
16 years 5 months ago
Clustering wavelets to speed-up data dissemination in structured P2P MANETs
This paper introduces a fast data dissemination method for structured peer-to-peer networks. The work is motivated on one side by the increase in non-volatile memory available on ...
Mihai Lupu, Jianzhong Li, Beng Chin Ooi, Shengfei ...
SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
15 years 4 months ago
Call to order: a hierarchical browsing approach to eliciting users' preference
Computing preference queries has received a lot of attention in the database community. It is common that the user is unsure of his/her preference, so care must be taken to elicit...
Feng Zhao, Gautam Das, Kian-Lee Tan, Anthony K. H....
TASLP
2008
75views more  TASLP 2008»
15 years 3 months ago
Efficient Index-Based Audio Matching
Given a large audio database of music recordings, the goal of classical audio identification is to identify a particular audio recording by means of a short audio fragment. Even th...
Frank Kurth, Meinard Müller
PG
1999
IEEE
15 years 8 months ago
Automatic Creation of Object Hierarchies for Radiosity Clustering
Using object clusters for hierarchical radiosity greatly improves the efficiency and thus usability of radiosity computations. By eliminating the quadratic starting phase very lar...
Gordon Müller, Stephan Schäfer, Dieter W...
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...