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» Optimizing Feature Sets for Structured Data
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ICPR
2002
IEEE
14 years 8 months ago
Radial Projections for Non-Linear Feature Extraction
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
Alberto J. Pérez Jiménez, Juan Carlo...
PPOPP
2011
ACM
12 years 10 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
TLDI
2005
ACM
135views Formal Methods» more  TLDI 2005»
14 years 1 months ago
Types for describing coordinated data structures
Coordinated data structures are sets of (perhaps unbounded) data structures where the nodes of each structure may share types with the corresponding nodes of the other structures....
Michael F. Ringenburg, Dan Grossman
JGTOOLS
2008
100views more  JGTOOLS 2008»
13 years 7 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...