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» Dimensionality reduction and generalization
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PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
15 years 9 months 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
15 years 9 months 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
140
Voted
SSPR
2004
Springer
15 years 9 months 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»
15 years 9 months 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 8 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