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» Using Biologically Inspired Features for Face Processing
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GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
14 years 2 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin
APSEC
2003
IEEE
14 years 2 months ago
Case study: Reconnaissance techniques to support feature location using RECON2
Change requests are often formulated into concepts or features that a maintainer can understand. One of the main issues faced by a maintainer is to know and locate “where does t...
Suhaimi Ibrahim, Norbik Bashah Idris, Aziz Deraman
ICPR
2002
IEEE
14 years 10 months ago
Improving Face Verification Using Skin Color Information
The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods o...
Sébastien Marcel, Samy Bengio
ICANN
2009
Springer
14 years 19 days ago
Large-Scale Real-Time Object Identification Based on Analytic Features
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not res...
Stephan Hasler, Heiko Wersing, Stephan Kirstein, E...
ICPR
2004
IEEE
14 years 10 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li