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math.OC2018
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
Albert Akhriev, Jakub Marecek, Andrea Simonetto
In tracking of time-varying low-rank models of time-varying matrices, we present a method robust to both uniformly-distributed measurement noise and arbitrarily-distributed ``spars…
math.OC2017★ 2 cited
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images
Sergiy Zhuk, Tigran Tchrakian, Albert Akhriev +2
This paper describes a new algorithm for solar energy forecasting from a sequence of Cloud Optical Depth (COD) images. The algorithm is based on the following simple observation: t…