Publications related to Transient behavior of affine projection algorithms

Model order reduction for large-scale structures with local nonlinearities

Jan Sickmann Hesthaven, Mengwu Guo, Zhenying Zhang

In solid mechanics, linear structures often exhibit (local) nonlinear behavior when close to failure. For instance, the elastic deformation of a structure becomes plastic after being deformed beyond recovery. To properly assess such problems in a real-life ...

ELSEVIER SCIENCE SA2019

Machine-learning the configurational energy of multicomponent crystalline solids

Anirudh Raju Natarajan

Machine learning tools such as neural networks and Gaussian process regression are increasingly being implemented in the development of atomistic potentials. Here, we develop a formalism to leverage such non-linear interpolation tools in describing propert ...

Springer Nature2018

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Volkan Cevher, Junhong Lin

We study generalization properties of distributed algorithms in the setting of nonparametric regression over a reproducing kernel Hilbert space (RKHS). We investigate distributed stochastic gradient methods (SGM), with mini-batches and multi-passes over th ...

2018

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

Sylvain Calinon, Noémie Laure Gwendoline Jaquier

Despite recent advances in prosthetics and assistive robotics in general, robust simultaneous and proportional control of dexterous prosthetic devices remains an unsolved problem, mainly because of inadequate sensorization. In this paper, we study the appl ...

2017

On the sensitivity of buildings to climate

Parag Rastogi

Building simulation requires a large number of uncertain inputs and parameters. These include quantities that may be known with reasonable confidence, like the thermal properties of materials and building dimensions, but also inputs whose correct values ca ...

EPFL2016

A Geometric View on Constrained M-Estimators

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

We study the estimation error of constrained M-estimators, and derive explicit upper bounds on the expected estimation error determined by the Gaussian width of the constraint set. Both of the cases where the true parameter is on the boundary of the constr ...

2015

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validati ...

Institution of Engineering and Technology2013

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

Michaël Unser, Pedram Pad

Sinusoidal transforms such as the DCT are known to be optimal-that is, asymptotically equivalent to the Karhunen-Loeve transform (KLT)-for the representation of Gaussian stationary processes, including the classical AR(1) processes. While the KLT remains a ...

Ieee2013

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Michaël Unser, Pedram Pad

Sinusoidal transforms such as the DCT are known to be optimal—that is, asymptotically equivalent to the Karhunen-Loève transform (KLT)—for the representation of Gaussian stationary processes, including the classical AR(1) processes. While the KLT remains ...

IEEE2013

Transient behavior of affine projection algorithms

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Model order reduction for large-scale structures with local nonlinearities

Machine-learning the configurational energy of multicomponent crystalline solids

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

On the sensitivity of buildings to climate

A Geometric View on Constrained M-Estimators

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Model order reduction for large-scale structures with local nonlinearities

On the sensitivity of buildings to climate

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

A Geometric View on Constrained M-Estimators

Machine-learning the configurational energy of multicomponent crystalline solids

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses