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199
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APIN
2004
131views more  APIN 2004»
15 years 6 months ago
Rough Self Organizing Map
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
186
Voted
MICCAI
2005
Springer
16 years 7 months ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
186
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SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
186
Voted
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
163
Voted
MLDM
2009
Springer
16 years 1 months ago
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
A number of two-class classification methods first discretize each attribute of two given training sets and then construct a propositional DNF formula that evaluates to True for ...
Klaus Truemper