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» On Feature Selection through Clustering
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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
CCGRID
2006
IEEE
14 years 1 months ago
GridFTP-APT: Automatic Parallelism Tuning Mechanism for Data Transfer Protocol GridFTP
GridFTP has been used as a data transfer protocol to effectively transfer a large volume of data in Grid computing. GridFTP supports a feature called parallel data transfer that i...
Takeshi Ito, Hiroyuki Ohsaki, Makoto Imase
MM
2006
ACM
162views Multimedia» more  MM 2006»
14 years 1 months ago
An innovative three-dimensional user interface for exploring music collections enriched
We present a novel, innovative user interface to music repositories. Given an arbitrary collection of digital music files, our system creates a virtual landscape which allows the...
Peter Knees, Markus Schedl, Tim Pohle, Gerhard Wid...
SLSFS
2005
Springer
14 years 1 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
PLDI
2010
ACM
14 years 23 days ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky