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ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
ICANN
2009
Springer
14 years 6 days ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
ICASSP
2009
IEEE
14 years 2 months ago
Motion-based object segmentation using local background sprites
It is well known that video material with a static background allows easier segmentation than that with a moving background. One approach to segmentation of sequences with a movin...
Andreas Krutz, Alexander Glantz, Thilo Borgmann, M...
ICPR
2010
IEEE
13 years 5 months ago
Cascaded Background Subtraction Using Block-Based and Pixel-Based Codebooks
This paper presents a cascaded scheme with block-based and pixel-based codebooks for background subtraction. The codebook is mainly used to compress information to achieve high ef...
Jing-Ming Guo, Chih-Sheng Hsu
IJCV
2006
125views more  IJCV 2006»
13 years 7 months ago
Robust Tracking Using Foreground-Background Texture Discrimination
This paper conceives of tracking as the developing distinction of a foreground against the background. In this manner, fast changes in the object or background appearance can be de...
Hieu Tat Nguyen, Arnold W. M. Smeulders