In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Kernelâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- BY Z. I. BOTEV, Joseph F. Grotowski, D. P. Kroese
- 2010

We present a new adaptive kernel density estimator based on linear diffusion processes. The proposed estimator builds on existingâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- JooSeuk Kim, Clayton D. Scott
- 2008 IEEE International Conference on Acousticsâ€¦
- 2008

In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the innerâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- Philippe Lebon
- 2006

The estimation of the underlying probability density of n i.i.d. random objects on a compact Riemannian manifold without boundaryâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- MikaĂ«l Rousson, Daniel Cremers
- MICCAI
- 2005

We propose a nonlinear statistical shape model for level set segmentation which can be efficiently implemented. Given a set ofâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Anurag Mittal, Nikos Paragios
- Proceedings of the 2004 IEEE Computer Societyâ€¦
- 2004

Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes thatâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

If a probability density function has bounded support, kernel density estimates often overspill the boundaries and areâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including inâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Ahmed M. Elgammal, Ramani Duraiswami, Larry S. Davis
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2003

Many vision algorithms depend on the estimation of a probability density function from observations. Kernel density estimationâ€¦Â (More)

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2003

2003

- Nicholas Cox, M A Cleves, +5 authors Philippe Van Kerm
- 2003

This insert describes the module akdensity. akdensity extends the official kdensity that estimates density functions by theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

Automatic understanding of events happening at a site is the ultimate goal for many visual surveillance systems. Higher levelâ€¦Â (More)

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