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Consortium of Swiss Academic Libraries

Dimensionality-reduced subspace clustering

Heckel, Reinhard ; Tschannen, Michael ; Bölcskei, Helmut

In: Information and Inference: A Journal of the IMA, 2017, vol. 6, no. 3, p. 246-283

Università della Svizzera italiana

Scalable algorithms for high-dimensional graphical lasso and function approximation

Eftekhari, Aryan ; Schenk, Olaf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO008.

Fundamental tasks in multivariate and numerical analysis, such as sparse precision matrix estimation via graphical lasso and function approximation, are formulated in ever-increasing dimensions. Consequently, this results in a significant increase in the computational demand that quickly renders standard solution methods intractable. With this motivation, we present two scalable algorithms that...

Consortium of Swiss Academic Libraries

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm

Golbabaee, Mohammad ; Alahi, Alexandre ; Vandergheynst, Pierre

In: Journal of Mathematical Imaging and Vision, 2014, vol. 48, no. 1, p. 160-175

Università della Svizzera italiana

High performance selected inversion methods for sparse matrices : direct and stochastic approaches to selected inversion

Verbosio, Fabio ; Schenk, Olaf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO002.

The explicit evaluation of selected entries of the inverse of a given sparse matrix is an important process in various application fields and is gaining visibility in recent years. While a standard inversion process would require the computation of the whole inverse who is, in general, a dense matrix, state-of-the-art solvers perform a selected inversion process instead. Such approach allows...