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» Graph-Theoretical Methods in Computer Vision
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ICPR
2008
IEEE
14 years 10 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios
ACCV
2007
Springer
14 years 2 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
ACIVS
2005
Springer
14 years 2 months ago
A Hybrid Color-Based Foreground Object Detection Method for Automated Marine Surveillance
This paper proposes a hybrid foreground object detection method suitable for the marine surveillance applications. Our approach combines an existing foreground object detection met...
Daniel Socek, Dubravko Culibrk, Oge Marques, Hari ...
ICPR
2010
IEEE
13 years 6 months ago
An Efficient Method for Offline Text Independent Writer Identification
This paper proposes, an efficient method for text independent writer identification using a codebook. The occurrence histogram of the shapes in the codebook is used to create a fea...
Golnaz Ghiasi, Reza Safabakhsh
ICCV
2003
IEEE
14 years 10 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis