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» Lossy Reduction for Very High Dimensional Data
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CIKM
2003
Springer
15 years 4 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
ADMA
2008
Springer
124views Data Mining» more  ADMA 2008»
15 years 1 months ago
Dimensionality Reduction for Classification
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
Frank Plastria, Steven De Bruyne, Emilio Carrizosa
ICIP
2006
IEEE
16 years 1 months ago
Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspe...
Xiaoli Tang, William A. Pearlman
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
15 years 6 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender