Faculty

Institution

Unit

Venue

Raviv Raich

Professor Full Professor

Oregon State University

Affiliations

College of Engineering

School of Electrical Engineering and Computer Science

Raviv Raich is currently serving as a College Of Engineering Professor Full Professor at Oregon State University.

Honors

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Experiences

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Education

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Raviv Raich

Oregon State University

Professor Full Professor

You can click a keyword to filter the displayed items

machine learning computer science applied mathematics signal processing data science electrical engineering pattern recognition computer vision digital signal processing machine learning research supervised learning deep learning mathematical optimization statistical signal processing dimensionality reduction avian biology ornithology natural language processing knowledge discovery bioacoustics estimation theory transaction processing speech processing sparse image reconstruction computational intelligence image reconstruction classification method acoustic signal processing spectral analysis semi-supervised learning multi-instance multi-label learning gradient descent monocular extraction instrumentation image classification state estimation acoustic classification matrix completion asymptotic linear convergence power electronics localization biomedical analysis biomedical imaging pattern analysis information theory eeg signal processing hyperspectral imaging sensor signal processing acoustic ecology biomedical data analysis low-rank matrix completion dictionary learning engineering optimization automatic control histopathology annotation service audio electroacoustics document classification immunophenotyping convolutional neural networks system identification power amplifier modeling bird song bandpass nonlinearity novel class instances multi-instance learning vehicular technology medical image computing vehicle technology audio signal processing density estimation activity recognition multidimensional signal processing convex optimization predistorter design miml instance annotation computational optimization model optimization

Notable Scholarly Works

Notable Federal Grants

Collaborators

Maximum Likelihood Estimation of Stable Arx Models Using Randomized Coordinate Descent. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

numerical algorithmsrandomized coordinate descentmathematical optimizationstable arx modelsmaximum likelihood estimationestimation theoryparameter identificationstatistical inferencestatisticsstatistical methodologyparameter estimationapplied mathematicscomputational statisticsmodel selectionstatistical models

On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

momentum accelerationlinear algebracomputational optimizationmathematical programmingcomputational mathematicsnumerical algorithmsmatrix theorymathematical optimizationmatrix factorizationmultilinear subspace learninglow-rank approximationapplied mathematicsmatrix analysiscomputer sciencenumerical linear algebramathematics

A Two-Step Self Consistent Algorithm for Extracting Magnetic Anisotropy Constants From Angle-Dependent Ferromagnetic Resonance Measurements. Journal of Magnetism and Magnetic Materials (2024)

Khalid Ibne MasoodRaviv RaichAlbrecht JanderPallavi Dhagat

ferromagnetismmagnetic anisotropy constantsmagnetic resonance spectroscopymagnetic resonancenumerical analysismagnetismmagnetic measurementmagnetic propertiesnuclear magnetic resonanceapplied physicsmagnetoresistance

Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario. IEEE Transactions on Signal Processing (2024)

Jarrod HollisRaviv RaichJinsub KimBarak FishbainShai Kendler

technologyplanetary sciencestransaction processingidentifiable solutionsremote sensingdigital signal processingeeg signal processingpattern recognitionimage analysishyperspectral imagessignal processingcomputer science

Provable Randomized Coordinate Descent for Matrix Completion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Matthew CallahanTrung VuRaviv Raich

machine learningcomputer visionmatrix completionpattern recognitioncoordinate descentcomputer science

Efficient Graph-Based Signal Motif Discovery With Performance Bounds. Signal Processing (2023)

Zeyu YouRaviv RaichYonghong Huang

machine learningperformance boundsgraph processinggraph signal processinggraph theorygraph analysissignal processingcomputer science

Forensics for Adversarial Machine Learning Through Attack Mapping Identification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Allen YanJinsub KimRaviv Raich

forensic sciencemachine learningcomputer forensicsattack mapping identificationdeep learningcomputer scienceadversarial machine learning

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Transactions on Signal Processing (2023)

Trung VuRaviv RaichXiao Fu

statistical signal processingtransaction processingunit-modulus least squaresgradient descentcommunications systemsdigital signal processingelectrical engineeringsignal processingcomputer scienceapplied mathematicslocal linear convergence

On the Asymptotic Linear Convergence of Gradient Descent for Non-Symmetric Matrix Completion. 2014 48th Asilomar Conference on Signals, Systems and Computers (2023)

Trung VuRaviv Raich

non-symmetric matrix completiongradient descentasymptotic linear convergenceapplied mathematics

A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis. Optimization Letters (2022)

Trung VuRaviv Raich

asymptotic linear convergencefixed point analysisnumerical analysisiterative methodsclosed-form boundapplied mathematics

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Raviv Raich

Professor Full Professor

Oregon State University

Affiliations

College of Engineering

School of Electrical Engineering and Computer Science

Raviv Raich is currently serving as a College Of Engineering Professor Full Professor at Oregon State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Raviv Raich

Oregon State University

Professor Full Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Maximum Likelihood Estimation of Stable Arx Models Using Randomized Coordinate Descent. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

A Two-Step Self Consistent Algorithm for Extracting Magnetic Anisotropy Constants From Angle-Dependent Ferromagnetic Resonance Measurements. Journal of Magnetism and Magnetic Materials (2024)

Khalid Ibne MasoodRaviv RaichAlbrecht JanderPallavi Dhagat

Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario. IEEE Transactions on Signal Processing (2024)

Jarrod HollisRaviv RaichJinsub KimBarak FishbainShai Kendler

Provable Randomized Coordinate Descent for Matrix Completion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Matthew CallahanTrung VuRaviv Raich

machine learningcomputer visionmatrix completionpattern recognitioncoordinate descentcomputer science

Efficient Graph-Based Signal Motif Discovery With Performance Bounds. Signal Processing (2023)

Zeyu YouRaviv RaichYonghong Huang

machine learningperformance boundsgraph processinggraph signal processinggraph theorygraph analysissignal processingcomputer science

Forensics for Adversarial Machine Learning Through Attack Mapping Identification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Allen YanJinsub KimRaviv Raich

forensic sciencemachine learningcomputer forensicsattack mapping identificationdeep learningcomputer scienceadversarial machine learning

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Transactions on Signal Processing (2023)

Trung VuRaviv RaichXiao Fu

On the Asymptotic Linear Convergence of Gradient Descent for Non-Symmetric Matrix Completion. 2014 48th Asilomar Conference on Signals, Systems and Computers (2023)

Trung VuRaviv Raich

non-symmetric matrix completiongradient descentasymptotic linear convergenceapplied mathematics

A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis. Optimization Letters (2022)

Trung VuRaviv Raich

asymptotic linear convergencefixed point analysisnumerical analysisiterative methodsclosed-form boundapplied mathematics

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