Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
conditions. Conversely, data-driven approaches demonstrate strong performance in locomotion recognition and state estimation but frequently lack physical consistency, transparency, and robustness when exposed
-
(Trace Analysis, 11 members) has gained international recognition in two-step laser mass spectrometry (L2MS) and its applications in environmental science, Earth sciences, and biology/medicine
-
machine learning for cybersecurity, current systems remain largely based on pattern recognition and struggle to incorporate contextual reasoning, temporal dependencies, and relationships between entities
-
pattern recognition, 2018, pp. 4510–4520. [7] Y. Cheng, D. Wang, P. Zhou, and T. Zhang, “Model compression and acceleration for deep neural networks: The principles, progress, and challenges,” IEEE Signal
-
. Dubacheva in the I2BM team of DCM (Département de Chimie Moléculaire, CNRS-UGA). I2BM research focuses on the design of macromolecular architectures and functional interfaces for bioanalysis and therapeutic
-
necessary to robustly extract the various constituent elements of the comic book (detection of panels and speech bubbles, text recognition, segmentation, and character identification), and then to structure
-
fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
-
architectures, with a strong focus on spiking neural networks (SNNs). 1 Abstract The increasing availability of spatio-temporal data has enabled significant advances in perception and pattern recognition systems
-
Laboratory (UMR 6252). The functional oxide research group has achieved international recognition in bolometric and magnetic sensor design based on La2/3Sr1/3MnO3 (LSMO). The international visibility
-
2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk