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» A selective sampling approach to active feature selection
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PAMI
2006
143views more  PAMI 2006»
13 years 9 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
CGF
2010
165views more  CGF 2010»
13 years 8 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
ICIP
2001
IEEE
14 years 10 months ago
Facial parameter extraction system based on active contours
This paper addresses the application of active contours or snakes for location and tracking of facial features. Conventional snake approaches find the position of the snake by fin...
Montse Pardàs, Marcos Losada
ICTAI
1992
IEEE
14 years 1 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
KSEM
2009
Springer
14 years 3 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer