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ESANN
2008
15 years 5 months ago
Classification of chestnuts with feature selection by noise resilient classifiers
In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
Elena Roglia, Rossella Cancelliere, Rosa Meo
143
Voted
METRICS
1999
IEEE
15 years 8 months ago
Metrics for Quantifying the Disparity, Concentration, and Dedication between Program Components and Features
One of the most important steps towards effective software maintenance of a large complicated system is to understand how program features are spread over the entire system and th...
W. Eric Wong, Swapna S. Gokhale, Joseph Robert Hor...
118
Voted
IJCAI
2007
15 years 5 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
CVPR
2008
IEEE
16 years 6 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
ICSE
2003
IEEE-ACM
16 years 4 months ago
DADO: Enhancing Middleware to Support Crosscutting Features in Distributed, Heterogeneous Systems
Some "non-' or "extra-functional" features, such as reliability, security, and tracing, defy modularization mechanisms in programming languages. This makes suc...
Eric Wohlstadter, Stoney Jackson, Premkumar T. Dev...