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NIPS
2001
13 years 6 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
RECOMB
2001
Springer
14 years 5 months ago
Geometric algorithms for the analysis of 2D-electrophoresis gels
In proteomics 2?dimensional gel electrophoresis (2?DE) is a separation technique for proteins. The resulting protein spots can be identified by either using picking robots and sub...
Alon Efrat, Frank Hoffmann, Klaus Kriegel, Christo...
PRL
2011
12 years 11 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
IMC
2007
ACM
13 years 6 months ago
Network loss inference with second order statistics of end-to-end flows
We address the problem of calculating link loss rates from end-to-end measurements. Contrary to existing works that use only the average end-to-end loss rates or strict temporal c...
Hung Xuan Nguyen, Patrick Thiran
SC
2009
ACM
13 years 11 months ago
Enabling high-fidelity neutron transport simulations on petascale architectures
The UNIC code is being developed as part of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport c...
Dinesh K. Kaushik, Micheal Smith, Allan Wollaber, ...