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» Robust kernel density estimation
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MLMTA
2007
13 years 11 months ago
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator
- Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challeng...
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Ha...
VISAPP
2008
13 years 11 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
ICASSP
2011
IEEE
13 years 1 months ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus
ICPR
2006
IEEE
14 years 11 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
TIP
2010
141views more  TIP 2010»
13 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina