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PR
2007
293views more  PR 2007»
14 years 9 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
ARTMED
2010
119views more  ARTMED 2010»
14 years 10 months ago
Fuzzy Arden Syntax: A fuzzy programming language for medicine
Objective: The programming language Arden Syntax has been optimised for use in clinical decision support systems. We describe an extension of this language named Fuzzy Arden Synta...
Thomas Vetterlein, Harald Mandl, Klaus-Peter Adlas...
ACCV
2006
Springer
15 years 3 months ago
Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering
In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the ...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
SIP
2007
14 years 11 months ago
Mosaic-based figure-ground segmentation along with static segmentation by mean shift
This work deals with the problem of backgroundforeground segmentation in video scenes. We propose an approach that makes use of feature extraction and matching, robust estimation,...
J. Sole, Yu Huang, Joan Llach
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 5 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann