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ICIP
2008
IEEE
13 years 11 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
13 years 9 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
13 years 10 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
13 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....
IRCDL
2007
13 years 6 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso