PhD position in LITIS at Université Rouen Normandie, France Design and prototyping of a multimodal system for Visually Impaired
Linlin Jia
Performance comparison on LITIS ROUEN dataset | Download Table
Sensors | Free Full-Text | Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification
Classification performance of the revised version of the LITIS Rouen... | Download Scientific Diagram
Paul Honeine (@PaulHoneine) / Twitter
Average performance comparison with related works on LITIS Rouen... | Download Table
INSA Rouen - YouTube
LITIS Rouen Dataset | Papers With Code
IMPACT Workshop: 31 March 2011, Rouen | The IMPACT project Blog
EPNACS'2007 - litis - Université du havre
PDF) PIVAJ: displaying and augmenting digitized newspapers on the web experimental feedback from the Journal de Rouen collection
LITISLAB - Laboratoire d'Informatique de traitement de l'information et des systemes
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features | DeepAI
INSA ROUEN | Litis - Academia.edu
![PDF] Temporal Transformer Networks for Acoustic Scene Classification | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/300ed23694963ab940be11736606c9dd45a456b4/4-Table2-1.png "PDF] Temporal Transformer Networks for Acoustic Scene Classification | Semantic Scholar")
PDF] Temporal Transformer Networks for Acoustic Scene Classification | Semantic Scholar
LITIS
Semantic methods and tools of the CISMeF team Prof. SJ. Darmoni, MD, PhD CISMeF, TIBS, LITIS Lab Rouen University Hospital & Rouen Medical School, Normandy, - ppt download
The LITIS arabic handwriting recognition system - Lattice-based Combination Framework for HMM-based Handwriting Recognition Syst
![Visualization of Rouen dataset by using CQT+HoG features and t-SNE [23]. | Download Scientific Diagram](https://www.researchgate.net/publication/327007463/figure/fig6/AS:659361542176769@1534215450626/Visualization-of-Rouen-dataset-by-using-CQT-HoG-features-and-t-SNE-23.png "Visualization of Rouen dataset by using CQT+HoG features and t-SNE [23]. | Download Scientific Diagram")
Visualization of Rouen dataset by using CQT+HoG features and t-SNE [23]. | Download Scientific Diagram
LITIS
LITIS
Anass El Moudni - PHD Candidate - LITIS - Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes | LinkedIn
Sensors | Free Full-Text | Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification
LITIS (@LitisLab) / Twitter
LITIS - Rouen
