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» Using Biologically Inspired Features for Face Processing
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111
Voted
ISMB
1993
15 years 3 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
BMCBI
2011
14 years 5 months ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
108
Voted
ICIP
2000
IEEE
16 years 3 months ago
A New Approach to Tracking with Active Contours
This paper addresses the application of active contours or snakes for robust tracking of contours. Conventional snake approaches to tracking initialize the current frame snake wit...
Montse Pardàs, Elisa Sayrol
ICIP
2008
IEEE
16 years 4 months ago
General-purpose reduced-reference image quality assessment based on perceptually and statistically motivated image representatio
Divisive normalization has been recognized as a successful approach to model the perceptual sensitivity of biological vision. It also provides a useful image representation that i...
Qiang Li, Zhou Wang
ICIP
2003
IEEE
15 years 7 months ago
ICA and Gabor representation for facial expression recognition
Two hybrid systems for classifying seven categories of human facial expression are proposed. The £rst system combines independent component analysis (ICA) and support vector mach...
Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas