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07/13/2023
Kernel t-distributed stochastic neighbor embedding
This paper presents a kernelized version of the t-SNE algorithm, capable...
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01/11/2022
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection
Many applications like audio and image processing show that sparse repre...
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07/30/2021
An iterative coordinate descent algorithm to compute sparse low-rank approximations
In this paper, we describe a new algorithm to build a few sparse princip...
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05/30/2021
An iterative Jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs
In this paper, we describe a new algorithm to compute the extreme eigenv...
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07/07/2020
Efficient and Parallel Separable Dictionary Learning
Separable, or Kronecker product, dictionaries provide natural decomposit...
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02/22/2020
Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms
We investigate numerically efficient approximations of eigenspaces assoc...
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07/18/2019
Fast approximation of orthogonal matrices and application to PCA
We study the problem of approximating orthogonal matrices so that their ...
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12/09/2018
Learning Multiplication-free Linear Transformations
In this paper, we propose several dictionary learning algorithms for spa...
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12/03/2018
On learning with shift-invariant structures
We describe new results and algorithms for two different, but related, p...
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11/19/2018
Approximate Eigenvalue Decompositions of Linear Transformations with a Few Householder Reflectors
The ability to decompose a signal in an orthonormal basis (a set of orth...
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01/30/2018