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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 4 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
DSN
2005
IEEE
14 years 2 months ago
A Wavefront Parallelisation of CTMC Solution Using MTBDDs
In this paper, we present a parallel implementation for the steady-state analysis of continuous-time Markov chains (CTMCs). This analysis is performed via solution of a linear equ...
Yi Zhang, David Parker, Marta Z. Kwiatkowska
BMCBI
2008
157views more  BMCBI 2008»
13 years 9 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
DCC
2002
IEEE
14 years 8 months ago
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
- We consider a joint source-channel coding system that protects an embedded wavelet bitstream against noise using a finite family of channel codes with error detection and error c...
Raouf Hamzaoui, Vladimir Stankovic
DICTA
2007
13 years 10 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita