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14 papers · 1 filter
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms
Ricardo Augusto Borsoi, Konstantin Usevich, David Brie +1
Coupled tensor decompositions (CTDs) perform data fusion by linking factors from different datasets. Although many CTDs have been already proposed, current works do not address imp…
Nevanlinna Second Main Theorem and tautological inequality for parabolic manifolds
Clara Derand
We obtain a Second Main Theorem type inequality for holomorphic maps , where is a parabolic manifold and is smooth projective with dim dim . We al…
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
Ruben Gonzalez-Perez, Francisco Lopez-Tiro, Ivan Reyes-Amezcua +6
Currently, the Morpho-Constitutional Analysis (MCA) is the de facto approach for the etiological diagnosis of kidney stone formation, and it is an important step for establishing p…
Mixed Regular and Impulsive Sampled-data LQR
Jamal Daafouz, Jérôme Lohéac, Romain Postoyan
We investigate the benefits of combining regular and impulsive inputs for the control of sampled-data linear time-invariant systems. We first observe that adding an impulsive term…
Strategic Federated Learning: Application to Smart Meter Data Clustering
Hassan Mohamad, Chao Zhang, Samson Lasaulce +3
Federated learning (FL) involves several clients that share with a fusion center (FC), the model each client has trained with its own data. Conventional FL, which can be interprete…
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
Luciano Carvalho Ayres, Sérgio José Melo de Almeida, José Carlos Moreira Bermudez +1
Hyperspectral image (HI) analysis approaches have recently become increasingly complex and sophisticated. Recently, the combination of spectral-spatial information and superpixel t…