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» An Experimental Study on Feature Subset Selection Methods
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GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 8 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
SPIEVIP
2008
15 years 7 months ago
Adaptive methods of two-scale edge detection in post-enhancement visual pattern processing
Adaptive methods are defined and experimentally studied for a two-scale edge detection process that mimics human visual perception of edges and is inspired by the parvo-cellular (...
Zia-ur Rahman, Daniel J. Jobson, Glenn A. Woodell
IJCNN
2007
IEEE
15 years 11 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 10 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
CVPR
1998
IEEE
16 years 6 months ago
Interactive Sensor Planning
This paper describes an interactive sensor planning system that can be used to select viewpoints subject to camera visibility, field of view and task constraints. Application area...
Ioannis Stamos, Peter K. Allen