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IJCAI
1997
13 years 10 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
EUROPAR
2009
Springer
14 years 3 months ago
Adaptive Parallel Householder Bidiagonalization
With the increasing use of large image and video archives and high-resolution multimedia data streams in many of today’s research and application areas, there is a growing need f...
Fangbin Liu, Frank J. Seinstra
ICASSP
2010
IEEE
13 years 7 months ago
Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction
This paper deals with the reconstruction of T1-T2 correlation spectra in Nuclear Magnetic Resonance (NMR) spectroscopy. The ill-posed character of this inverse problem and its lar...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
CAIP
1999
Springer
138views Image Analysis» more  CAIP 1999»
14 years 28 days ago
Procrustes Alignment with the EM Algorithm
This paper casts the problem of point-set alignment via Procrustes analysis into a maximum likelihood framework using the EM algorithm. The aim is to improve the robustness of the...
Bin Luo, Edwin R. Hancock
CONSTRAINTS
2006
115views more  CONSTRAINTS 2006»
13 years 8 months ago
A Cost-Regular Based Hybrid Column Generation Approach
Abstract. Constraint Programming (CP) offers a rich modeling language of constraints embedding efficient algorithms to handle complex and heterogeneous combinatorial problems. To s...
Sophie Demassey, Gilles Pesant, Louis-Martin Rouss...