Zobrazeno 1 - 10
of 1 327
pro vyhledávání: '"A Leplat"'
Autor:
Goldsborough, Thibaut, Philps, Ben, O'Callaghan, Alan, Inglis, Fiona, Leplat, Leo, Filby, Andrew, Bilen, Hakan, Bankhead, Peter
Cell and nucleus segmentation are fundamental tasks for quantitative bioimage analysis. Despite progress in recent years, biologists and other domain experts still require novel algorithms to handle increasingly large and complex real-world datasets.
Externí odkaz:
http://arxiv.org/abs/2408.15954
Autor:
Cohen, Jeremy E., Leplat, Valentin
Regularized nonnegative low-rank approximations such as sparse Nonnegative Matrix Factorization or sparse Nonnegative Tucker Decomposition are an important branch of dimensionality reduction models with enhanced interpretability. However, from a prac
Externí odkaz:
http://arxiv.org/abs/2403.18517
We propose a Block Majorization Minimization method with Extrapolation (BMMe) for solving a class of multi-convex optimization problems. The extrapolation parameters of BMMe are updated using a novel adaptive update rule. By showing that block majori
Externí odkaz:
http://arxiv.org/abs/2401.06646
Deep Nonnegative Matrix Factorization (deep NMF) has recently emerged as a valuable technique for extracting multiple layers of features across different scales. However, all existing deep NMF models and algorithms have primarily centered their evalu
Externí odkaz:
http://arxiv.org/abs/2309.08249
We propose to use low-rank matrix approximation using the component-wise L1-norm for direct imaging of exoplanets. Exoplanet detection by direct imaging is a challenging task for three main reasons: (1) the host star is several orders of magnitude br
Externí odkaz:
http://arxiv.org/abs/2304.03619
Autor:
Héloïse Débare, Fany Blanc, Guillaume Piton, Jean-Jacques Leplat, Silvia Vincent-Naulleau, Julie Rivière, Marthe Vilotte, Sylvain Marthey, Jérôme Lecardonnel, Jean-Luc Coville, Jordi Estellé, Andrea Rau, Emmanuelle Bourneuf, Giorgia Egidy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In MeLiM minipigs, melanomas develop around birth, can metastasize, and have histopathologic characteristics similar to humans. Interestingly, MeLiM melanomas eventually regress. This favorable outcome raises the question of their malignancy
Externí odkaz:
https://doaj.org/article/17c86ebddec7490c8f0c77562ab0c144
Autor:
Leplat, Valentin, Merkulov, Daniil, Katrutsa, Aleksandr, Bershatsky, Daniel, Tsymboi, Olga, Oseledets, Ivan
Classical machine learning models such as deep neural networks are usually trained by using Stochastic Gradient Descent-based (SGD) algorithms. The classical SGD can be interpreted as a discretization of the stochastic gradient flow. In this paper we
Externí odkaz:
http://arxiv.org/abs/2209.14937
Publikováno v:
In International Journal of Thermal Sciences July 2024 201
Nonnegative Tucker decomposition (NTD), a tensor decomposition model, has received increased interest in the recent years because of its ability to blindly extract meaningful patterns, in particular in Music Information Retrieval. Nevertheless, exist
Externí odkaz:
http://arxiv.org/abs/2110.14434
Autor:
Julien De Wolf, Carla Gouin, Luc Jouneau, Matthieu Glorion, Antoine Premachandra, Florentina Pascale, Maxime Huriet, Jérôme Estephan, Jean-Jacques Leplat, Giorgia Egidy, Christophe Richard, Valérie Gelin, Céline Urien, Antoine Roux, Morgan Le Guen, Isabelle Schwartz-Cornil, Edouard Sage
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Ex-vivo lung perfusion (EVLP) has extended the number of transplantable lungs by reconditioning marginal organs. However, EVLP is performed at 37°C without homeostatic regulation leading to metabolic wastes’ accumulation in the perfusate and, as a
Externí odkaz:
https://doaj.org/article/d31c031dc2f540b1b60ab4a22c708826