A study on different deep learning algorithms used in deep neural nets: MLP SOM and DBN
J Naskath, G Sivakamasundari, AAS Begum - Wireless personal …, 2023 - Springer
Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …
nonlinear layers that learns various levels of data representations. Deep learning employs …
Handshape recognition for argentinian sign language using probsom
Automatic sign language recognition is an important topic within the areas of human-
computer interaction and machine learning. On the one hand, it poses a complex challenge …
computer interaction and machine learning. On the one hand, it poses a complex challenge …
Sign language recognition based on 3d convolutional neural networks
GMR Neto, GB Junior, JDS de Almeida… - Image Analysis and …, 2018 - Springer
The inclusion of disabled people is still a recurring problem throughout the world. For the
hearing impaired, the barrier imposed by the sign language spoken by a small part of the …
hearing impaired, the barrier imposed by the sign language spoken by a small part of the …
Reconocimiento de gestos dinámicos y su aplicación al lenguaje de señas
F Ronchetti - XX Workshop de Investigadores en Ciencias de la …, 2018 - sedici.unlp.edu.ar
Para poder utilizar un sistema de reconocimiento automático de lengua de señas para
traducir los gestos de un intérprete, es necesario afrontar una serie de diversas tareas. En …
traducir los gestos de un intérprete, es necesario afrontar una serie de diversas tareas. En …
[PDF][PDF] Biometric technologies in recognition systems: a survey
SA Shawkat, RN Ismail - Tikrit Journal of Pure Science, 2019 - iasj.net
The ability to recognize people uniquely and to associate personal attributes such as name
and nationality with them has been very important to the fabric of human society. Nowadays …
and nationality with them has been very important to the fabric of human society. Nowadays …
Distribution of action movements (DAM): a descriptor for human action recognition
Human action recognition fromskeletal data is an important and active area of research in
which the state of the art has not yet achieved near-perfect accuracy on many wellknown …
which the state of the art has not yet achieved near-perfect accuracy on many wellknown …
Face recognition based on fuzzy probabilistic SOM
Face recognition is a topic of great interest in different areas, especially those related to
security. The identification of a person by the image of her face is a difficult task because of …
security. The identification of a person by the image of her face is a difficult task because of …
Analysis of the self-organizing map-based investment strategy
P Kossakowski, P Bilski - International Journal of Computing, 2017 - elibrary.ru
The following paper presents the application of Self-Organizing Maps (SOM) to construct
and apply investment strategy on the stock market. Characteristics of this type of neural …
and apply investment strategy on the stock market. Characteristics of this type of neural …
A novel competitive neural classifier for gesture recognition with small training sets
F Quiroga, LC Corbalán - … Congreso Argentino de Ciencias de la …, 2013 - sedici.unlp.edu.ar
Gesture recognition is a major area of interest in human-computer interaction. Recent
advances in sensor technology and Computer power has allowed us to perform real-time …
advances in sensor technology and Computer power has allowed us to perform real-time …
Handshape recognition for Argentinian Sign Language using ProbSom
Automatic sign language recognition is an important topic within the areas of human-
computer interaction and machine learning. On the one hand, it poses a complex challenge …
computer interaction and machine learning. On the one hand, it poses a complex challenge …