Publications related to Kernel smoother

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Robust Data-Driven Dynamic Programming

Daniel Kuhn, Grani Adiwena Hanasusanto

In stochastic optimal control the distribution of the exogenous noise is typically unknown and must be inferred from limited data before dynamic programming (DP)-based solution schemes can be applied. If the conditional expectations in the DP recursions ar ...

2013

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

David Andrew Barry, Luca Rossi, Sylvain Coutu

Many pharmaceutical products find their way into receiving waters, giving rise to concerns regarding their environmental impact. A procedure was proposed that enables ranking of the hazard to aquatic species and human health due to such products. In the pr ...

Elsevier2012

Nonparametric Construction of Multivariate Kernels

Victor Panaretos, Kjell Konis

We propose a nonparametric method for constructing multivariate kernels tuned to the configuration of the sample, for density estimation in R-d, d moderate. The motivation behind the approach is to break down the construction of the kernel into two parts: ...

American Statistical Association2012

Convolution on the n-Sphere With Application to PDF Modeling

Ivan Dokmanic

In this paper, we derive an explicit form of the convolution theorem for functions on an n-sphere. Our motivation comes from the design of a probability density estimator for n-dimensional random vectors. We propose a probability density function (pdf) est ...

Institute of Electrical and Electronics Engineers2010

A Multi Cue Discriminative Approach to Semantic Place Classification

Barbara Caputo, Marco Fornoni, Jesús Martínez Gómez

This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple cues. Specically, we used an SVM and combined up to four different histogra ...

2010

SURE-Based Non-Local Means

Dimitri Nestor Alice Van De Ville, Michel Kocher

Non-local means (NLM) provides a powerful framework for denoising. However, there are a few parameters of the algorithm-most notably, the width of the smoothing kernel-that are data-dependent and difficult to tune. Here, we propose to use Stein's unbiased ...

Institute of Electrical and Electronics Engineers2009

The Marr Wavelet Pyramid

Michaël Unser, Dimitri Nestor Alice Van De Ville

We introduce a new semi-orthogonal complex wavelet basis of

L _{ 2 }

(\mathbb{R} ^{ 2 }

). The basis functions are associated to the complex gradient-Laplace operator, which plays a central role in image processing. We define analytically a single- ...

IEEE2008

Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid

Michaël Unser, Dimitri Nestor Alice Van De Ville

Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our approach is a new complex wavelet basis that behaves like a smoothed version of the Gr ...

Institute of Electrical and Electronics Engineers2008

The Marr Wavelet Pyramid

Michaël Unser, Dimitri Nestor Alice Van De Ville

We introduce a new semi-orthogonal complex wavelet basis of

L _{ 2 }

(\mathbb{R} ^{ 2 }

). The basis functions are associated to the complex gradient-Laplace operator, which plays a central role in image processing. We define analytically a single- ...

IEEE2008

Kernel smoother

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Robust Data-Driven Dynamic Programming

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

Kernel regression for real-time building energy analysis

Nonparametric Construction of Multivariate Kernels

Integration of Urban Structures in Point Process Analysis

Convolution on the n-Sphere With Application to PDF Modeling

A Multi Cue Discriminative Approach to Semantic Place Classification

SURE-Based Non-Local Means

The Marr Wavelet Pyramid

Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

The Marr Wavelet Pyramid

SURE-Based Non-Local Means

Integration of Urban Structures in Point Process Analysis

Kernel regression for real-time building energy analysis

A Multi Cue Discriminative Approach to Semantic Place Classification

Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid

Robust Data-Driven Dynamic Programming

Nonparametric Construction of Multivariate Kernels

Convolution on the n-Sphere With Application to PDF Modeling