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ECCV
2006
Springer
16 years 7 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
ICML
2007
IEEE
16 years 5 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 11 months ago
A two-steps next-best-view algorithm for autonomous 3D object modeling by a humanoid robot
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...
Torea Foissotte, Olivier Stasse, Adrien Escande, P...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 11 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ICIP
2005
IEEE
15 years 10 months ago
Automatic registration of 3D datasets using Gaussian fields
—In this paper we introduce a new 3D automatic registration method based on Gaussian fields and energy minimization. The method defines a simple ∞ C energy function, which is c...
Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi