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SBBD
2000
168views Database» more  SBBD 2000»
15 years 8 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
ICML
2010
IEEE
15 years 7 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
ICASSP
2010
IEEE
15 years 6 months ago
Aspect-model-based reference speaker weighting
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...
Seongjun Hahm, Yuichi Ohkawa, Masashi Ito, Motoyuk...
ANOR
2010
125views more  ANOR 2010»
15 years 6 months ago
A Bayesian approach for the alignment of high-resolution NMR spectra
: The rapid progresses in human genome project and biotechnologies result in the sheer volume of datasets associated with in-depth scientific knowledge. Metabolomics is defined as ...
Seoung Bum Kim, Zhou Wang, Basavaraj Hiremath
CN
2007
123views more  CN 2007»
15 years 6 months ago
Information retrieval in schema-based P2P systems using one-dimensional semantic space
The widespread use of RDF-based information necessitates efficient information retrieval techniques in wide-area networks. In this paper, we present Dynamic Semantic Space, a sche...
Tao Gu, Hung Keng Pung, Daqing Zhang
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