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» Maximum kernel density estimator for robust fitting
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ICCV
2003
IEEE
15 years 5 months ago
Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation
Robust estimators, such as Least Median of Squared (LMedS) Residuals, M-estimators, the Least Trimmed Squares (LTS) etc., have been employed to estimate optical flow from image se...
Hanzi Wang, David Suter
BMCBI
2010
185views more  BMCBI 2010»
14 years 6 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
ECCV
2004
Springer
16 years 1 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...
EMMCVPR
2009
Springer
15 years 6 months ago
Image Filtering Driven by Level Curves
This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
TR
2010
204views Hardware» more  TR 2010»
14 years 6 months ago
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Vasilis A. Sotiris, Peter W. Tse, Michael Pecht