19 citations · 45 across the 11 of their papers we have counts for
3 papers · 1 filter
Robust and scalable methods for the dynamic mode decomposition
Travis Askham, Peng Zheng, Aleksandr Aravkin +1
The dynamic mode decomposition (DMD) is a broadly applicable dimensionality reduction algorithm that approximates a matrix containing time-series data by the outer product of a mat…
Learning Robust Representations for Computer Vision
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy +1
Unsupervised learning techniques in computer vision often require learning latent representations, such as low-dimensional linear and non-linear subspaces. Noise and outliers in th…
Estimating Shape Parameters of Piecewise Linear-Quadratic Problems
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy
Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. Common examples of PLQ penalties inc…