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» The Structure of Sparse Resultant Matrices
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BMCBI
2011
13 years 8 days ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ICASSP
2008
IEEE
14 years 3 months ago
On persymmetric covariance matrices in adaptive detection
In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case...
Guilhem Pailloux, Philippe Forster, Jean Philippe ...
ICML
2010
IEEE
13 years 9 months ago
Robust Formulations for Handling Uncertainty in Kernel Matrices
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib ...
JCO
1998
97views more  JCO 1998»
13 years 8 months ago
The Travelling Salesman Problem on Permuted Monge Matrices
We consider traveling salesman problems (TSPs) with a permuted Monge matrix as cost matrix where the associated patching graph has a specially simple structure: a multistar, a mult...
Rainer E. Burkard, Vladimir G. Deineko, Gerhard J....
EUROPAR
2003
Springer
14 years 1 months ago
Improving Performance of Hypermatrix Cholesky Factorization
Abstract. This paper shows how a sparse hypermatrix Cholesky factorization can be improved. This is accomplished by means of efficient codes which operate on very small dense matri...
José R. Herrero, Juan J. Navarro