Pattern Recognition : 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings / edited by Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López.

Format:

Book

Contributor:

Vergara-Villegas, Osslan Osiris, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13264

Language:

English

Subjects (All):

Pattern recognition systems.

Artificial intelligence.

Computer engineering.

Computer networks.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Engineering and Networks.

Local Subjects:

Automated Pattern Recognition.

Artificial Intelligence.

Computer Engineering and Networks.

Physical Description:

1 online resource (377 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juárez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.

Contents:

Pattern Recognition Techniques

Hot Spots & Hot Regions Detection using Classification Algorithms in BMPs Complexes at the Protein-protein Interface with the Ground-state Energy Feature

Clustering of Twitter Networks based on Users’ Structural Profile

Changing Model from NGSIM Dataset

A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants

A Preliminary Study of SMOTE on Imbalanced Big Datasets when Dealing with Sparse and Dense High Dimensionality

A Novel Survival Analysis-based Approach for Predicting Behavioral Probability of Mining Mixed Data Bases using Machine Learning Algorithms

Networks and Deep Learning A CNN-based Driver’s Drowsiness and Distraction Detection System

3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain

Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification

Deep Variational Method with Attention for High-Definition Face Generation

Indoor Air Pollution Forecasting using Deep Neural Networks

Extreme Machine Learning Architectures based on Correlation

Image & Signal Processing and Analysis Evaluating New Set of Acoustical Features for Cry Signal Classification

Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach

Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry

Factorized U-net for Retinal Vessel Segmentation

Multi-view Learning for EEG Signal Classification of Imagined Speech

Escalante Emotion Recognition using Time-frequency Distribution and GLCM Features from EEG Signals

Natural Language Processing and Recognition Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion

A Wide & Deep Learning Approach for Covid-19 Tweet Classification

Does this Tweet Report an Adverse Drug Reaction? An Enhanced BERT-based Method to Identify Drugs Side Effects in Twitter

We Will Know Them by Their Style: Fake News Detection based on Masked n-grams

Multi-Document Text Summarization based on Genetic Algorithm and the Relevance of Sentence Features

´ Robotics & Remote Sensing Applications of Pattern Recognition On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models

Dust Deposition Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep Learning-based Approach

Detection of Pain Caused By A Thermal Stimulus Using EEG and Machine Learning

Data Mining

Natural Language Processing and Recognition

Document Processing and Recognition

Fuzzy and Hybrid Techniques in Pattern Recognition

Image Coding, Processing and Analysis

Industrial and Medical Applications of Pattern Recognition

Bioinformatics

Logical Combinatorial Pattern Recognition

Mathematical Morphology

Artificial Intelligence Techniques and Recognition

Pattern Recognition Principles

Robotics& Remote Sensing Applications of Pattern Recognition

Shape and Texture Analysis

Signal Processing and Analysis.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Other Format:

Print version: Vergara-Villegas, Osslan Osiris Pattern Recognition

ISBN:

3-031-07750-4