Publications related to Projection (linear algebra)

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Maliheh Miri

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects ongoing organi-zation of brain activity. Characterization of the spatial patterns is an indispensable step in numerous EEG processing pipelines. We present a novel me ...

Oxford2023

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Mireille El Gheche, Giovanni Chierchia

Proximal splitting methods are standard tools for nonsmooth optimization. While primal-dual methods have become very popular in the last decade for their flexibility, primal methods may still be preferred for two reasons: acceleration schemes are more effe ...

IEEE2021

Fast Projection Onto Convex Smooth Constraints

Maryam Kamgarpour, Andreas Krause, Ilnura Usmanova

The Euclidean projection onto a convex set is an important problem that arises in numerous constrained optimization tasks. Unfortunately, in many cases, computing projections is computationally demanding. In this work, we focus on projection problems where ...

PMLR2021

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

Michaël Unser, Laurène Donati, Harshit Gupta, Michael Thompson McCann

We present CryoGAN, a new paradigm for single-particle cryo-electron microscopy (cryo-EM) reconstruction based on unsupervised deep adversarial learning. In single-particle cryo-EM, the structure of a biomolecule needs to be reconstructed from a large set ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Three-Dimensional Cubic Barcodes

Martin Vetterli, Adam James Scholefield, Golnooshsadat Elhami

We consider three-dimensional cubic barcodes, consisting of smaller cubes, each built from one of two possible materials and carry one bit of information. To retrieve the information stored in the barcode, we measure a 2-D projection of the barcode using a ...

2021

Load cell with adjustable stiffness based on a preloaded T-shaped flexure pivot

Simon Nessim Henein, Charles Baur, Loïc Benoît Tissot-Daguette, Michal Stanislaw Smreczak

In this paper, we present a new flexure-based load cell with adjustable stiffness designed for force sensors with extended force range and respective measuring resolution. This novel monolithic mechanism consists of a T-shaped flexure pivot combined with a ...

euspen2021

Flexure Pivot Oscillator Insensitive to Gravity

Simon Nessim Henein, Etienne Frédéric Gabriel Thalmann, Mohammad Hussein Kahrobaiyan

The mechanical oscillator according to the invention comprises an oscillating body (601), at least one rigid intermediate body (602) and a support (600). Each rigid intermediate body is connected to the support by a pair of elements (610, 611) providing ro ...

2020

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Mikhail Kapralov, Amir Zandieh

Reconstructing continuous signals based on a small number of discrete samples is a fundamental problem across science and engineering. We are often interested in signals with "simple" Fourier structure - e.g., those involving frequencies within a bounded r ...

ASSOC COMPUTING MACHINERY2019

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Projection (linear algebra)

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Harmonic decomposition of the trace of 1D transfer matrices in layered media

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Fast Projection Onto Convex Smooth Constraints

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

Three-Dimensional Cubic Barcodes

Load cell with adjustable stiffness based on a preloaded T-shaped flexure pivot

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

Flexure Pivot Oscillator Insensitive to Gravity

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Graph Chatbot

Chat with Graph Search

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Fast Projection Onto Convex Smooth Constraints

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Harmonic decomposition of the trace of 1D transfer matrices in layered media

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

Three-Dimensional Cubic Barcodes

Load cell with adjustable stiffness based on a preloaded T-shaped flexure pivot

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

Flexure Pivot Oscillator Insensitive to Gravity

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms