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» Dimensionality reduction and generalization
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PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
16 years 21 days ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
CLEF
2004
Springer
16 years 18 days ago
University of Chicago at CLEF2004: Cross-Language Text and Spoken Document Retrieval
The University of Chicago participated in the Cross-Language Evaluation Forum 2004 (CLEF2004) cross-language multilingual, bilingual, and spoken language tracks. Cross-language exp...
Gina-Anne Levow, Irina Matveeva
SSPR
2004
Springer
16 years 16 days ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
16 years 4 days ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric
WEBI
2001
Springer
15 years 11 months ago
A Rough Set-Aided System for Sorting WWW Bookmarks
Most people store ‘bookmarks’ to web pages. These allow the user to return to a web page later on, without having to remember the exact URL address. People attempt to organise ...
Richard Jensen, Qiang Shen