Computing L1 Straight-Line Fits to Data (Part 1)

12/31/2019

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The initial remarks in this technical report are primarily for those not familiar with the properties of L1 approximation, but the remainder of the report should also interest readers who are already acquainted with the inner workings of L1 algorithms.

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Computing L1 Straight-Line Fits to Data (Part 1)

The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition

Accurately identifying vertebral levels in large datasets

Bayesian and L1 Approaches to Sparse Unsupervised Learning

Analysis of the L1 scheme for fractional wave equations with nonsmooth data

Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks

L1-(2D)2PCANet: A Deep Learning Network for Face Recognition

The l1-l2 minimization with rotation for sparse approximation in uncertainty quantification

Computing L1 Straight-Line Fits to Data (Part 1)

Related Research

The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition

Accurately identifying vertebral levels in large datasets

Bayesian and L1 Approaches to Sparse Unsupervised Learning

Analysis of the L1 scheme for fractional wave equations with nonsmooth data

Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks

L1-(2D)2PCANet: A Deep Learning Network for Face Recognition

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