Concept

Sequence transformation

Related publications (32)

Precise and Responsive Performance Animation for Embodied Immersive Interactions

The recent advances in immersive display technologies offer a unique opportunity for providing intuitive interaction techniques easing the user involvement in the Virtual Environment. This trend underlines the great potential of Performance Animation espec ...

EPFL2016

Analysis of a Plane Wave-Excited Subwavelength Circular Aperture in a Planar Conducting Screen Illuminating a Multilayer Uniaxial Sample

Juan Ramon Mosig, Krzysztof Michalski

A spectral domain analysis is presented of a plane wave-excited subwavelength circular aperture in a planar perfectly conducting screen in close proximity to a multilayer stack, which may comprise uniaxially anisotropic slices. The formulation employs the ...

Institute of Electrical and Electronics Engineers2015

Quantization Design for Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbours and the channel has a limited data-rate. A c ...

2015

Quantization Design for Unconstrained Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...

2015

Splitting methods in control

Colin Neil Jones, Ye Pu, Georgios Stathopoulos, Alexander Szücs

The need for optimal control of processes under a restricted amount of resources renders first order optimization methods a viable option. Although computationally cheap, these methods typically suffer from slow convergence rates. In this work we discuss t ...

IEEE2014

Online-Batch Strongly Convex Multi Kernel Learning

Barbara Caputo, Jie Luo

Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled ap- proach to combine multiple cues, and to obtain state-of-the- art performance. A general drawback of these strategies is the high computational co ...

Idiap2010

Online-Batch Strongly Convex Multi Kernel Learning

Barbara Caputo, Jie Luo

2010

A Statistical Analysis of Certain Iterative Learning Control Algorithms

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

Iterative Learning Control (ILC) is a technique used to improve the tracking performance of systems carrying out repetitive tasks, which are affected by deterministic disturbances. The achievable performance is greatly degraded, however, when non-repeating ...

2008

A Comparison of Iterative Learning Control Algorithms with application to a Linear Motor System

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

2006

Variable Step-Size NLMS and Affine Projection Algorithms

Ali H. Sayed

This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error. ...

Institute of Electrical and Electronics Engineers2004

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