no code implementations • 27 Apr 2024 • Gary Reyes, Laura Lanzarini, César Estrebou, Aurelio F. Bariviera
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community.
no code implementations • 26 Oct 2023 • Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete
The model employs a bag-of-words approach in all classification steps, to explore the hypothesis that ordering is not essential for recognition.
no code implementations • 26 Oct 2023 • Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete
The dataset, called LSA64, contains 3200 videos of 64 different LSA signs recorded by 10 subjects, and is a first step towards building a comprehensive research-level dataset of Argentinian signs, specifically tailored to sign language recognition or other machine learning tasks.
no code implementations • Journal of Computer Science and Technology (JCST) 2016 • Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou, Laura Lanzarini
Automatic sign language recognition is an important topic within the areas of human-computer interaction and machine learning.
Ranked #3 on Hand Gesture Recognition on LSA16
no code implementations • IBERAMIA 2016 • Franco Ronchetti, Facundo Quiroga, César Estrebou, Laura Lanzarini, Alejandro Rosete
The model employs a bag-of-words approach in all classification steps, to explore the hypothesis that ordering is not essential for recognition.
Ranked #2 on Sign Language Recognition on LSA64