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» Density Estimation: Nonparametric Techniques
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SSPR
2010
Springer
13 years 7 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
ICML
1999
IEEE
14 years 9 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
TWC
2010
13 years 3 months ago
Indoor localization with channel impulse response based fingerprint and nonparametric regression
Abstract--In this paper, we propose a fingerprint-based localization scheme that exploits the location dependency of the channel impulse response (CIR). We approximate the CIR by a...
Yunye Jin, Wee-Seng Soh, Wai-Choong Wong
ICCV
1999
IEEE
14 years 11 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer
ICIP
2009
IEEE
13 years 6 months ago
Non-parametric natural image matting
Natural image matting is an extremely challenging image processing problem due to its ill-posed nature. It often requires skilled user interaction to aid definition of foreground ...
Muhammad Sarim, Adrian Hilton, Jean-Yves Guillemau...