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» Practical Preference Relations for Large Data Sets
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NECO
2007
90views more  NECO 2007»
15 years 5 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
VLDB
1995
ACM
89views Database» more  VLDB 1995»
15 years 9 months ago
OODB Bulk Loading Revisited: The Partitioned-List Approach
Object-oriented and object-relational databases(OODB) need to be able to load the vast quantities of data that OODB users bring to them. Loading OODB datais significantly more com...
Janet L. Wiener, Jeffrey F. Naughton
PSSS
2003
15 years 7 months ago
Representing Contextualized Data using Semantic Web Tools
: RDF-based tools promise to provide a base for reasoning about metadata and about situated data—data describing entities situated in time and space—that is superior to alterna...
Robert M. MacGregor, In-Young Ko
DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 7 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
MVA
2007
132views Computer Vision» more  MVA 2007»
15 years 7 months ago
A Comparison of New Generic Camera Calibration with the Standard Parametric Approach
This paper deals with a recently proposed nonparametric approach to camera calibration, which is applicable to any type of sensor design. Currently, no relative quantitative perfo...
Aubrey K. Dunne, John Mallon, Paul F. Whelan