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IPMI
2007
Springer
16 years 7 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
VIP
2000
15 years 8 months ago
Non-Invasive estimation of Cerebral Metabolic Rate of Glucose Using Simultaneous Estimation and Cluster Analysis: A feasibility
Quantitative PET studies usually require invasive blood sampling from a peripheral artery to obtain an input function for accurate modelling. However, blood sampling is impractica...
Koon-Pong Wong, David Dagan Feng, Steven R. Meikle...
MICCAI
2004
Springer
16 years 7 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
BMCBI
2005
201views more  BMCBI 2005»
15 years 6 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
CORR
1999
Springer
164views Education» more  CORR 1999»
15 years 6 months ago
Annotation graphs as a framework for multidimensional linguistic data analysis
In recent work we have presented a formal framework for linguistic annotation based on labeled acyclic digraphs. These `annotation graphs' oer a simple yet powerful method fo...
Steven Bird, Mark Liberman