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IDA
2009
Springer
14 years 2 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
BMCBI
2010
170views more  BMCBI 2010»
13 years 8 months ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
VIS
2008
IEEE
214views Visualization» more  VIS 2008»
14 years 9 months ago
Estimating Crossing Fibers: A Tensor Decomposition Approach
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
Thomas Schultz, Hans-Peter Seidel
IEEEPACT
2002
IEEE
14 years 1 months ago
Workload Design: Selecting Representative Program-Input Pairs
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
Lieven Eeckhout, Hans Vandierendonck, Koenraad De ...
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
14 years 1 months ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi