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77
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EOR
2006
87views more  EOR 2006»
15 years 14 days ago
Applying machine based decomposition in 2-machine flow shops
The Shifting Bottleneck (SB) heuristic is among the most successful approximation methods for solving the Job Shop problem. It is essentially a machine based decomposition procedu...
Saral Mukherjee, A. K. Chatterjee
212
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 1 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
IJRR
2008
73views more  IJRR 2008»
15 years 14 days ago
Optimization of Complex Robot Applications under Real Physical Limitations
This paper deals with minimum time trajectory optimization along a specified path subject to thermal constraints. We point out here that robots are often integrated in complex rob...
Matthieu Guilbert, Luc D. Joly, Pierre-Brice Wiebe...
92
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Fast noise PSD estimation with low complexity
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise ...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
101
Voted
ISSAC
2005
Springer
105views Mathematics» more  ISSAC 2005»
15 years 6 months ago
Lifting techniques for triangular decompositions
We present lifting techniques for triangular decompositions of zero-dimensional varieties, that extend the range of the previous methods. We discuss complexity aspects, and report...
Xavier Dahan, Marc Moreno Maza, Éric Schost...