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» Density Estimation: Nonparametric Techniques
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SSPR
2010
Springer
15 years 4 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
16 years 6 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
15 years 13 days 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
16 years 7 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
15 years 3 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...