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» A Privacy Preserving Framework for Gaussian Mixture Models
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ICIP
2006
IEEE
14 years 10 months ago
Hierarchical Data Structure for Real-Time Background Subtraction
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
Johnny Park, Amy Tabb, Avinash C. Kak
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
14 years 2 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 11 days ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
MDM
2007
Springer
279views Communications» more  MDM 2007»
14 years 2 months ago
Anonymity in Location-Based Services: Towards a General Framework
A general consensus is that the proliferation of locationaware devices will result in a diffusion of location-based services. Privacy preservation is a challenging research issue ...
Claudio Bettini, Sergio Mascetti, Xiaoyang Sean Wa...
ICPR
2004
IEEE
14 years 9 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors