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ICMLA
2010
15 years 4 months ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz
ICML
2001
IEEE
16 years 7 months ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das
IROS
2006
IEEE
205views Robotics» more  IROS 2006»
16 years 12 days ago
Good Image Features for Bearing-only SLAM
Abstract— In this paper, we propose an algorithm for extracting and selecting SIFT (scale-invariant feature transform) visual features for bearing-only SLAM in indoor environment...
Xiang Wang, Hong Zhang
ICRA
2008
IEEE
177views Robotics» more  ICRA 2008»
16 years 25 days ago
Active gaze control for attentional visual SLAM
— In this paper, we introduce an approach to active camera control for visual SLAM. Features, detected by a biologically motivated attention system, are tracked over several fram...
Simone Frintrop, Patric Jensfelt
ICDAR
2003
IEEE
15 years 11 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...