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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 13 hour ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
PAMI
2006
126views more  PAMI 2006»
14 years 9 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer
EUROPAR
2000
Springer
15 years 1 months ago
Automatic Generation of Block-Recursive Codes
Abstract. Block-recursive codes for dense numerical linear algebra computations appear to be well-suited for execution on machines with deep memory hierarchies because they are e e...
Nawaaz Ahmed, Keshav Pingali
ICASSP
2011
IEEE
14 years 1 months ago
Semi-algebraic canonical decomposition of multi-way arrays and Joint Eigenvalue Decomposition
A semi-algebraic algorithm based on Joint EigenValue Decomposition (JEVD) is proposed to compute the CP decomposition of multi-way arrays. The iterative part of the method is thus...
Xavier Luciani, Laurent Albera
EUROPAR
1998
Springer
15 years 1 months ago
Parallel Sparse Matrix Computations Using the PINEAPL Library: A Performance Study
Abstract. The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel Industrial NumErical Applications and Portable Lib...
Arnold R. Krommer