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» On the design of robust classifiers for computer vision
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ICPR
2000
IEEE
13 years 9 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
ICPR
2006
IEEE
14 years 6 months ago
Robust Appearance-based Tracking using a sparse Bayesian classifier
An appearance-based approach to track an object that may undergo appearance change is proposed. Unlike recent methods that store a detailed representation of object's appeara...
Kwan-Yee Kenneth Wong, Roberto Cipolla, Shu-Fai Wo...
BMVC
2010
13 years 3 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...
EPIA
2005
Springer
13 years 10 months ago
Robust Real-Time Human Activity Recognition from Tracked Face Displacements
We are interested in the challenging scientific pursuit of how to characterize human activities in any formal meeting situation by tracking people’s positions with a computer vi...
Paul E. Rybski, Manuela M. Veloso
ECCV
2006
Springer
13 years 7 months ago
Robust Face Alignment Based on Hierarchical Classifier Network
Abstract. Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to al...
Li Zhang, Haizhou Ai, Shihong Lao