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AI
2004
Springer
13 years 7 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 8 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
SMA
2005
ACM
132views Solid Modeling» more  SMA 2005»
14 years 1 months ago
Simplified engineering analysis via medial mesh reduction
Numerous simplification methods have been proposed for speeding up engineering analysis/ simulation. A recently proposed medial axis reduction is one such method, that is particul...
Murari Sinha, Krishnan Suresh
BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...
ICIP
2003
IEEE
14 years 9 months ago
Adaptively weighted update steps in motion compensated lifting based scalable video compression
Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghostin...
Nagita Mehrseresht, David Taubman