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» Accelerated Convergence Using Dynamic Mean Shift
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ICIP
2006
IEEE
14 years 6 months ago
Acoustic Range Image Segmentation by Effective Mean Shift
Image perception in underwater environment is a difficult task for a human operator, and data segmentation becomes a crucial step toward an higher level interpretation and recogni...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ACCV
2006
Springer
13 years 11 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
ECCV
2008
Springer
14 years 6 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
ICTAI
2006
IEEE
13 years 11 months ago
An Approximation to Mean-Shift via Swarm Intelligence
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
Mani Thomas, Chandra Kambhamettu
ACMDIS
2006
ACM
13 years 11 months ago
Staying open to interpretation: engaging multiple meanings in design and evaluation
Human-Computer Interaction (HCI) often focuses on how designers can develop systems that convey a single, specific, clear interpretation of what they are for and how they should b...
Phoebe Sengers, Bill Gaver