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» Maximal Vector Computation in Large Data Sets
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IEEEVAST
2010
15 years 1 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
BMCBI
2005
147views more  BMCBI 2005»
15 years 6 months ago
Calibration of mass spectrometric peptide mass fingerprint data without specific external or internal calibrants
Background: Peptide Mass Fingerprinting (PMF) is a widely used mass spectrometry (MS) method of analysis of proteins and peptides. It relies on the comparison between experimental...
Witold E. Wolski, Maciej Lalowski, Peter Jungblut,...
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 10 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
IUI
2009
ACM
16 years 3 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick
MMM
2008
Springer
117views Multimedia» more  MMM 2008»
16 years 1 months ago
Distribution-Based Similarity for Multi-represented Multimedia Objects
In modern multimedia databases, objects can be represented by a large variety of feature representations. In order to employ all available information in a best possible way, a joi...
Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin,...