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» Maximal Vector Computation in Large Data Sets
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ESANN
2006
15 years 8 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
DCC
2008
IEEE
16 years 6 months ago
Compression of Hyperspectral Images with LVQ-SPECK
We discuss the use of lattice vector quantizers in conjunction with a quadtree-based sorting algorithm for the compression of multidimensional data sets, as encountered, for examp...
Alessandro J. S. Dutra, William A. Pearlman, Eduar...
IJBRA
2006
92views more  IJBRA 2006»
15 years 6 months ago
Jumpstarting phylogenetic analysis
: Phylogenetic analysis is a central tool in studies of comparative genomics. When a new region of DNA is isolated and sequenced, researchers are often forced to throw away months ...
Jesse Mecham, Mark J. Clement, Quinn Snell, Todd F...
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
16 years 8 months ago
SUBSKY: Efficient Computation of Skylines in Subspaces
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...
Yufei Tao, Xiaokui Xiao, Jian Pei
CCGRID
2003
IEEE
15 years 10 months ago
Improving Access to Multi-dimensional Self-describing Scientific Dataset
Applications that query into very large multidimensional datasets are becoming more common. Many self-describing scientific data file formats have also emerged, which have structu...
Beomseok Nam, Alan Sussman