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» Using Biologically Inspired Features for Face Processing
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CVPR
2007
IEEE
14 years 10 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
JCIT
2008
108views more  JCIT 2008»
13 years 8 months ago
Data Mining for Genetics: A Genetic Algorithm Approach
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
G. Madhu, Keshava Reddy
ICIP
2003
IEEE
14 years 10 months ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
RECOMB
2004
Springer
14 years 9 months ago
Probabilistic discovery of overlapping cellular processes and their regulation
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
Alexis Battle, Eran Segal, Daphne Koller
ICASSP
2008
IEEE
14 years 3 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...