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MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Daniel Kressner, Stefano Massei, Alice Cortinovis

The problem of finding a

k\times k

submatrix of maximum volume of a matrix A is of interest in a variety of applications. For example, it yields a quasi-best low-rank approximation constructed from the rows and columns of A. We show that such a submatrix ...

MATHICSE2019

Analyse sémantique latente

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MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Semantic Attribute Matching Networks

Joint Learning of Semantic Alignment and Object Landmark Detection

Comic Digitization through the Extraction of Semantic Content and Style Analysis

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

DeepSuccess - Predict the Success of Tech Startups

Transformer-Based Multi-lingual Sentence Embeddings

Learning to Find Unpaired Cross-Spectral Correspondences

Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

Improved Credit Bounds for the Credit-Based Shaper in Time-Sensitive Networking

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices