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Home > Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I > Real-Time Mexican Sign Language Interpretation Using CNN and HMM
Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I |
Ildar Batyrshin; Alexander Gelbukh; Grigori Sidorov
Springer International Publishing
Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I
Real-Time Mexican Sign Language Interpretation Using CNN and HMM
Authors

Jairo Enrique Ramírez Sánchez; Arely Anguiano Rodríguez; Miguel González Mendoza

ARI Id

1665345462431_6022468

Access

Not Available Free

Pages

55-68

DOI

10.1007/978-3-030-89817-5_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-89817-5_4

Table of Contents of Book
Showing 1 to 20 of 37 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxiv
Front Matter
1-1
Identifying Optimal Clusters in Purchase Transaction Data
L. Cleofas-Sanchez; A. Pineda-Briseño; J. S. Sanchez
3-22
Artificial Organic Networks Approach Applied to the Index Tracking Problem
Enrique González N.; Luis A. Trejo
23-43
Supervised Learning Approach for Section Title Detection in PDF Scientific Articles
Gustavo Bartz Guedes; Ana Estela Antunes da Silva
44-54
Real-Time Mexican Sign Language Interpretation Using CNN and HMM
Jairo Enrique Ramírez Sánchez; Arely Anguiano Rodríguez; Miguel González Mendoza
55-68
RiskIPN: Pavement Risk Database for Segmentation with Deep Learning
Uriel Escalona; Erik Zamora; Humberto Sossa
69-80
A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs
Ishrat Jahan Ananya; Sarah Suad; Shadab Hafiz Choudhury; Mohammad Ashrafuzzaman Khan
81-91
Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data
Eric Valdez-Valenzuela; Angel Kuri-Morales; Helena Gomez-Adorno
92-107
Long-Term Exploration in Persistent MDPs
Leonid Ugadiarov; Alexey Skrynnik; Aleksandr I. Panov
108-120
Source Task Selection in Time Series via Performance Prediction
Jesús García-Ramírez; Eduardo Morales; Hugo Jair Escalante
121-130
Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction
Mauricio Mendez-Ruiz; Ivan Garcia; Jorge Gonzalez-Zapata; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez
131-142
Seasonality Atlas of Solar Radiation in Mexico
Mónica Borunda; Adrián Ramírez; Nayeli Liprandi; Miriam Rodríguez; Alejandro Sánchez
143-157
Front Matter
159-159
Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones
Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel Gonzalez-Mendoza; Luis Eduardo Falcón-Morales
161-172
A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry
David Díaz; Regina Marta; Germán Ortega; Hiram Ponce
173-186
DBSCAN Parameter Selection Based on K-NN
Leonardo Delgado; Eduardo F. Morales
187-198
Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets
Cuauhtemoc Daniel Suarez-Ramirez; Mario Alberto Duran-Vega; Hector M. Sanchez C.; Miguel Gonzalez-Mendoza; Leonardo Chang; John M. Marshall
199-212
Causal Based Action Selection Policy for Reinforcement Learning
Ivan Feliciano-Avelino; Arquímides Méndez-Molina; Eduardo F. Morales; L. Enrique Sucar
213-227
Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions
Juan-José-Ignacio Lázaro-Lázaro; Eddy Sánchez-DelaCruz; Cecilia-Irene Loeza-Mejía; Pilar Pozos-Parra; Luis-Alfonso Landero-Hernández
228-238
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 37 entries
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