Publications related to Ordinary least squares

Group-Sparse Model Selection: Hardness and Relaxations

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, Nirav Bhan

Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. The main promise of these models is the recovery of ``interpretable" signals along with ...

Institute of Electrical and Electronics Engineers2016

Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites

Satoshi Takahama, Matteo Reggente

Organic carbon (OC) and elemental carbon (EC) are major components of atmospheric particulate matter (PM), which has been associated with increased morbidity and mortality, climate change, and reduced visibility. Typically OC and EC concentrations are meas ...

Copernicus GmbH2016

Scampi: a robust approximate message-passing framework for compressive imaging

Florent Gérard Krzakala, Jean François Emmanuel Barbier

Reconstruction of images from noisy linear measurements is a core problem in image processing, for which convex optimization methods based on total variation (TV) minimization have been the long-standing state-of-the-art. We present an alternative probabil ...

Iop Publishing Ltd2016

Definition and assessment of reference values for PMU calibration in static and transient conditions

Mario Paolone, Guglielmo Frigo, Marco Pignati, Daniele Colangelo

The calibration of Phasor Measurement Units (PMUs) consists of comparing Coordinated Universal Time (UTC) time-stamped phasors (synchrophasors) estimated by the PMU under test, against reference synchrophasors generated through a PMU calibrator. The IEEE S ...

IEEE2016

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

Mario Paolone, Sadegh Azizi

The method of symmetrical components is not effective for fault location in the case of untransposed lines, due to potential couplings between the sequence circuits. This paper proposes a non-iterative algorithm in the phase-coordinates for wide-area fault ...

Institute of Electrical and Electronics Engineers2016

Performance Assessment of Linear State Estimators Using Synchrophasor Measurements

Jean-Yves Le Boudec, Mario Paolone, Lorenzo Zanni, Styliani Sarri, Miroslav Popovic

This paper aims to assess the performance of linear state estimation (SE) processes of power systems relying on synchrophasor measurements. The performance assessment is conducted with respect to two different families of SE algorithms, i.e., static ones r ...

Institute of Electrical and Electronics Engineers2016

Structured Dimensionality Reduction for Additive Model Regression

Pascal Frossard, Alhussein Fawzi

Additive models are regression methods which model the response variable as the sum of univariate transfer functions of the input variables. Key benefits of additive models are their accuracy and interpretability on many real-world tasks. Additive models a ...

Institute of Electrical and Electronics Engineers2016

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Severin Sidler

We assess the impact of the conductance response of Non-Volatile Memory (NVM) devices employed as the synaptic weight element for on-chip acceleration of the training of large-scale artificial neural networks (ANN). We briefly review our previous work towa ...

Ieee2016

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Ordinary least squares

Group-Sparse Model Selection: Hardness and Relaxations

Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites

Scampi: a robust approximate message-passing framework for compressive imaging

Definition and assessment of reference values for PMU calibration in static and transient conditions

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

Performance Assessment of Linear State Estimators Using Synchrophasor Measurements

Structured Dimensionality Reduction for Additive Model Regression

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Snow hydrology signatures for model identification within a limits-of-acceptability approach

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

Graph Chatbot

Chat with Graph Search

Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites

Structured Dimensionality Reduction for Additive Model Regression

Definition and assessment of reference values for PMU calibration in static and transient conditions

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

Performance Assessment of Linear State Estimators Using Synchrophasor Measurements

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

Snow hydrology signatures for model identification within a limits-of-acceptability approach

Group-Sparse Model Selection: Hardness and Relaxations

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Scampi: a robust approximate message-passing framework for compressive imaging