Concept
Matrice symétrique
Publications associées (156)
Source apportionment of atmospheric P using the Positive Matrix Factorization (PMF) model
Athanasios Nenes, Kalliopi Violaki, Christos Panagiotopoulos
The PMF receptor model was applied to a combined dataset using specific markers such as phospholipids and sugars together with other metals (e.g. Al, Pb, V) and ions (e.g. K+, Ca2+, SO42-, NO3-) as tracers of main aerosol sources in order to characterize t ...
2020Multi-panel, on-single-chip Memristive Biosensing
Giovanni De Micheli, Sandro Carrara, Danilo Demarchi, Ioulia Tzouvadaki, Abuduwaili Tuoheti
Memristive biosensors have demonstrated excellent capabilities for ultrasensitive bio-detection. In the present work, memristive biosensing chips are designed, fabricated and implemented in a for the first time presented multi-panel on-chip detection for d ...
2019Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization
Nicolas Macris, Jean François Emmanuel Barbier, Clément Dominique Luneau
We consider a statistical model for finite-rank symmetric tensor factorization and prove a single-letter variational expression for its mutual information when the tensor is of even order. The proof uses the adaptive interpolation method, for which rank-on ...
IEEE2019hm-toolbox: Matlab software for HODLR and HSS matrices
Daniel Kressner, Stefano Massei
Matrices with hierarchical low-rank structure, including HODLR and HSS matrices, constitute a versatile tool to develop fast algorithms for addressing large-scale problems. While existing software packages for such matrices often focus on linear systems, t ...
2019Jordan blocks of unipotent elements in some irreducible representations of classical groups in good characteristic
Let be a classical group with natural module over an algebraically closed field of good characteristic. For every unipotent element of , we describe the Jordan block sizes of on the irreducible -modules which occur as compositio ...
2019Incremental Parameter Estimation under Rank-Deficient Measurement Conditions
Dominique Bonvin, Julien Léo Billeter
The computation and modeling of extents has been proposed to handle the complexity of large-scale model identification tasks. Unfortunately, the existing extent-based framework only applies when certain conditions apply. Most typically, it is required that ...
2019High-Resolution Data Sets Unravel the Effects of Sources and Meteorological Conditions on Nitrate and Its Gas-Particle Partitioning
Athanasios Nenes, Qianyu Zhao, Yan Feng
Nitrate is one of the most abundant inorganic water-soluble ions in fine particulate matter (PM2.5). However, the formation mechanism of nitrate in the ambient atmosphere, especially the impacts of its semivolatility and the various existing forms of nitro ...
2019Finally, a Polymorphic Linear Algebra Language
Amir Shaikhha, Lionel Emile Vincent Parreaux
Many different data analytics tasks boil down to linear algebra primitives. In practice, for each different type of workload, data scientists use a particular specialised library. In this paper, we present Pilatus, a polymorphic iterative linear algebra la ...
2019Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization
With ever greater computational resources and more accessible software, deep neural networks have become ubiquitous across industry and academia.
Their remarkable ability to generalize to new samples defies the conventional view, which holds that complex, ...
EPFL2019MATHICSE Technical Report: Block Krylov subspace methods for functions of matrices II: Modified block FOM
We analyze an expansion of the generalized block Krylov subspace framework of [Electron.\ Trans.\ Numer.\ Anal., 47 (2017), pp. 100-126]. This expansion allows the use of low-rank modifications of the matrix projected onto the block Krylov subspace and con ...
MATHICSE2019