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» Maximal Vector Computation in Large Data Sets
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BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
INFOVIS
2005
IEEE
14 years 2 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
GRAPHITE
2006
ACM
14 years 3 months ago
Directional enhancement in texture-based vector field visualization
The use of textures provides a rich and diverse set of possibilities for the visualization of flow data. In this paper, we present methods designed to produce oriented and contro...
Francesca Taponecco, Timothy Urness, Victoria Inte...
ICML
2010
IEEE
13 years 10 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
SC
2000
ACM
14 years 1 months ago
Data Access Performance in a Large and Dynamic Pharmaceutical Drug Candidate Database
An explosion in the amount of data generated through chemical and biological experimentation has been observed in recent years. This rapid proliferation of vast amounts of data ha...
Zina Ben-Miled, Yang Liu, David Powers, Omran A. B...