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TCOM
2008
76views more  TCOM 2008»
15 years 4 months ago
Multi-user selection diversity for spread-spectrum multi-carrier multiple-access systems
Recently, Multi-User Selection Diversity (MUSDiv) for single-carrier systems has been under extensive study on account of the enhancement it provides to system performance with min...
Petros L. Katsis, George K. Karagiannidis, Fotini-...
VLDB
2002
ACM
161views Database» more  VLDB 2002»
15 years 4 months ago
Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over many s...
Panagiotis G. Ipeirotis, Luis Gravano
IJCNN
2000
IEEE
15 years 8 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
ICIP
2006
IEEE
16 years 6 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan