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ICML
2010
IEEE
15 years 29 days ago
A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, His...
ERSA
2009
387views Hardware» more  ERSA 2009»
14 years 9 months ago
Implementation of the Gauss-Newton Algorithm for Non-linear Least-mean-squares Fitting in FPGA Devices
Abstract-- The paper presents the implementation of nonlinear least-squares regression in a Field Programmable Gate Array (FPGA) device. The implemented algorithm is very performan...
Andrea Abba, Antonio Manenti, Andrea Suardi, Angel...
NHM
2010
83views more  NHM 2010»
14 years 6 months ago
Schwarz waveform relaxation algorithms for semilinear reaction-diffusion equations
We introduce nonoverlapping domain decomposition algorithms of Schwarz waveform relaxation type for the semilinear reaction-diffusion equation. We define linear Robin and second or...
Filipa Caetano, Martin J. Gander, Laurence Halpern...
ICASSP
2008
IEEE
15 years 6 months ago
Some properties of an empirical mode type signal decomposition algorithm
The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it lacks a firm theoretica...
Stephen D. Hawley, Les E. Atlas, Howard J. Chizeck
IPPS
2007
IEEE
15 years 6 months ago
A hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...
André Renato Villela da Silva, Luiz Satoru ...