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» Cluster Analysis of High-Dimensional Data: A Case Study
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BMCBI
2010
166views more  BMCBI 2010»
15 years 6 months ago
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Background: Mass spectrometry is an essential technique in proteomics both to identify the proteins of a biological sample and to compare proteomic profiles of different samples. ...
Nicola Barbarini, Paolo Magni
PDPTA
2010
15 years 3 months ago
Collecting Sensor Data for High-Performance Computing: A Case-study
- Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate ...
Line C. Pouchard, Jonathan D. Dobson, Stephen W. P...
IBPRIA
2003
Springer
15 years 11 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
CVPR
2012
IEEE
13 years 8 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
TVCG
2008
174views more  TVCG 2008»
15 years 5 months ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M....