Sciweavers

1258 search results - page 49 / 252
» Architecture-driven Problem Decomposition
Sort
View
ICML
2003
IEEE
14 years 10 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
GLVLSI
2009
IEEE
125views VLSI» more  GLVLSI 2009»
14 years 4 months ago
Timing-driven N-way decomposition
Logic decomposition has been extensively used to optimize the worst-case delay and the area in the technology independent phase. Bi-decomposition is one of the state-of-art techni...
David Bañeres, Jordi Cortadella, Michael Ki...
ICASSP
2009
IEEE
14 years 4 months ago
Sparse decomposition of two dimensional signals
In this paper, we consider sparse decomposition (SD) of twodimensional (2D) signals on overcomplete dictionaries with separable atoms. Although, this problem can be solved by conv...
Aboozar Ghafari, Massoud Babaie-Zadeh, Christian J...
ACL
2007
13 years 10 months ago
Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition
Speech recognition in many morphologically rich languages suffers from a very high out-of-vocabulary (OOV) ratio. Earlier work has shown that vocabulary decomposition methods can ...
Antti Puurula, Mikko Kurimo
WIOPT
2010
IEEE
13 years 7 months ago
K-shell decomposition for dynamic complex networks
—K-shell (or k-core) graph decomposition methods were introduced as a tool for studying the structure of large graphs. K-shell decomposition methods have been recently proposed [...
Daniele Miorandi, Francesco De Pellegrini