502 search results - page 9 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
JMLR
2010
13 years 6 months ago
2010
PEWASUN
2006
ACM
14 years 1 months ago
2006
ACM
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
ACMACE
2007
ACM
13 years 11 months ago
2007
ACM
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...