58 search results - page 3 / 12 » A scalable supervised algorithm for dimensionality reduction... |
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
SAC
2006
ACM
14 years 4 days ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
KDD
2001
ACM
14 years 6 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
3DPVT
2006
IEEE
14 years 8 days ago
2006
IEEE
A low-complexity three-dimensional image compression algorithm based on wavelet transforms and set-partitioning strategy is presented. The Subband Block Hierarchial Partitioning (...