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CORR
2010
Springer
320views Education» more  CORR 2010»
14 years 11 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
PR
2010
184views more  PR 2010»
14 years 10 months ago
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
VTC
2008
IEEE
103views Communications» more  VTC 2008»
15 years 6 months ago
On Parameter Estimation for Ultra-Wideband Channels with Clustering Phenomenon
— One of the unique characteristics of ultra-wideband channels is the clustering phenomenon resolved by the ultra-wide signal bandwidth. Channel structures extended from the Sale...
Wei-De Wu, Chung-Hsuan Wang, Chi-Chao Chao, Klaus ...
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ANOR
2010
135views more  ANOR 2010»
14 years 11 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
IDA
2009
Springer
15 years 6 months ago
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Taiji Suzuki, Masashi Sugiyama