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ICANN
2011
Springer
14 years 10 months ago
Automatic Seizure Detection Incorporating Structural Information
Abstract. Traditional seizure detection algorithms act on single channels ignoring the synchronously recorded, inherently interdependent multichannel nature of EEG. However, the sp...
Borbala Hunyadi, Maarten De Vos, Marco Signoretto,...
ICCV
2001
IEEE
16 years 8 months ago
Confidence and Curvature Estimation of Curvilinear Structures in 3-D
In this paper we present a new method for estimating confidence and curvature of 3-D curvilinear structures. The gradient structure tensor (GST) models shift-invariance. The eigen...
Peter Bakker, Lucas J. van Vliet, Piet W. Verbeek
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 8 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
ICML
2010
IEEE
15 years 7 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
ASPDAC
2010
ACM
119views Hardware» more  ASPDAC 2010»
15 years 4 months ago
VISA: versatile impulse structure approximation for time-domain linear macromodeling
Abstract-- We develop a rational function macromodeling algorithm named VISA (Versatile Impulse Structure Approximation) for macromodeling of system responses with (discrete) time-...
Chi-Un Lei, Ngai Wong