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» An fMRI Activation Method Using Complex Data
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ICANN
2009
Springer
15 years 2 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
COCOA
2011
Springer
13 years 9 months ago
Algorithmic Aspects of Heterogeneous Biological Networks Comparison
Biological networks are commonly used to model molecular activity within the cell. Recent experimental studies have shown that the detection of conserved subnetworks across several...
Guillaume Blin, Guillaume Fertin, Hafedh Mohamed-B...
73
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ICCV
2001
IEEE
15 years 12 months ago
Segmentation of the Left Ventricle in Cardiac MR Images
This paper describes a segmentation technique to automatically extract the myocardium in 4 0 cardiac M R images for quantitative cardiac analysis and the diagnosis of patients. Th...
Marie-Pierre Jolly, Nicolae Duta, Gareth Funka-Lea
FUIN
2006
107views more  FUIN 2006»
14 years 10 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
ICIP
2003
IEEE
15 years 11 months ago
Robust tracking of cyclic nonrigid motion
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar