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» Comparing Computer Models Solving Number Series Problems
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INFOVIS
2005
IEEE
15 years 4 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...
BMCBI
2004
208views more  BMCBI 2004»
14 years 11 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
ICA
2007
Springer
15 years 3 months ago
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
Nima Noorshams, Massoud Babaie-Zadeh, Christian Ju...
ANOR
2002
57views more  ANOR 2002»
14 years 11 months ago
Redefining Event Variables for Efficient Modeling of Continuous-Time Batch Processing
Abstract: We define events so as to reduce the number of events and decision variables needed for modeling batchscheduling problems such as described in [Westenberger and Kallrath ...
Siqun Wang, Monique Guignard
CIAC
2006
Springer
278views Algorithms» more  CIAC 2006»
15 years 2 months ago
Covering a Set of Points with a Minimum Number of Lines
We consider the minimum line covering problem: given a set S of n points in the plane, we want to find the smallest number l of straight lines needed to cover all n points in S. W...
Magdalene Grantson, Christos Levcopoulos