Publications associées à Stepwise regression

Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

Dimitri Nestor Alice Van De Ville, Michel Kocher

Nonlocal means (NLM) is an effective denoising method that applies adaptive averaging based on similarity between neighborhoods in the image. An attractive way to both improve and speed-up NLM is by first performing a linear projection of the neighborhood. ...

IEEE2011

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

Ricardo Andres Chavarriaga Lozano

In this paper we describe a new computational model of switching between path-planning and cue-guided navigation strategies. It is based on three main assumptions: (i) the strategies are mediated by separate memory systems that learn independently and in p ...

Springer Verlag2010

Colored-Noise Thermostats à la Carte

Michele Ceriotti, Michele Parrinello

Recently, we have shown how a colored-noise Langevin equation can be used in the context of molecular dynamics as a tool to obtain dynamical trajectories whose properties are tailored to display desired sampling features. In the present paper, after having ...

2010

Thermal Behavior of an Ultra High-Precision Linear Axis Operating in Industrial Environment

Reymond Clavel, Emanuele Lubrano

Thermal expansion is the major source of inaccuracy for ultra high-precision robots. In this paper we propose a strategy to model and compensate this effect. The experiment is run using a 1 DOF (degree-of-freedom) parallel robot equipped with ten temperatu ...

Schönenfeld & Ziegler2008

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc

Claudia Rebeca Binder Signer

A number of potential explanatory variables for the stocks and flows of copper and zinc in contemporary technological societies are co-analyzed with the tools of exploratory data analysis. A one-year analysis (circa 1994) is performed for 50 countries that ...

Massachusetts Institute of Technology Press2008

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Henry Markram, Felix Schürmann, Sean Lewis Hill, Thomas Berger, Idan Segev

Neuron models, in particular conductance-based compartmental models, often have numerous parameters that cannot be directly determined experimentally and must be constrained by an optimization procedure. A common practice in evaluating the utility of such ...

2008

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic Signal and a genetically expressed activity reporter fluorescent protein (synaptop ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic signal and a genetically expressed activity reporter fluorescent protein (synaptop ...

IEEE2007

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Stepwise regression

Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

Why Don't Pesticide Applicators Protect Themselves?

Colored-Noise Thermostats à la Carte

A landscape genomics approach to understanding and predicting species distribution

Thermal Behavior of an Ultra High-Precision Linear Axis Operating in Industrial Environment

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Graph Chatbot

Chattez avec Graph Search

A landscape genomics approach to understanding and predicting species distribution

Explanatory Variables for per Capita Stocks and Flows of Copper and Zinc

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

Thermal Behavior of an Ultra High-Precision Linear Axis Operating in Industrial Environment

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Colored-Noise Thermostats à la Carte

Why Don't Pesticide Applicators Protect Themselves?

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection