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noise covariance

6 papers

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Co-occurring keywords · papers mentioning both

stochastic gradient descent (2) neural network (1) blind estimation (1) multi-subject dataset (1) optimal filtering (1) kalman gain (1) bias-variance error bound (1) projection kurtosis (1) parameter-dependent noise (1) mvdr beamforming (1)

Papers

Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances NeurIPS 2023 Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021 Matrix-normal models for fMRI analysis AISTATS 2018 Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks Interspeech 2016 Using Projection Kurtosis Concentration Of Natural Images For Blind Noise Covariance Matrix Estimation CVPR 2014 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013