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Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2018-03-05)
The anomaly detection in automated video surveillance is a recurrent topic in recent computer vision research. Deep Learning (DL) methods have achieved the state-of-the-art performance for pattern recognition in images and ...
UJA Human activity recognition multi-occupancy dataset
(Proceedings of the 54th Hawaii International Conference on System Sciences, 2021)
A sensor data fusion system based on k-Nearest neighbor pattern classification for structural health monitoring applications
(2017-02-21)
Civil and military structures are susceptible and vulnerable to damage due to the
environmental and operational conditions. Therefore, the implementation of technology to provide
robust solutions in damage identification ...
Software para la Clasificación de Fibras Musculares en Imágenes Histológicas
(2017-01-01)
Histochemical stains are used for the characterization of the fibers types present in skeletal muscles of organisms. Usually, the identification and classification of these fibers is carried out visually by an expert ...
An Information Theory framework for two-stage binary image operator design
(ELSEVIER SCIENCE BV, 2010)
The design of translation invariant and locally defined binary image operators over large windows is made difficult by decreased statistical precision and increased training time. We present a complete framework for the ...
Reconocimiento de objetos utilizando técnicas de aprendizaje profundo
(Ingeniería MultimediaFacultad de IngenieríaUniversidad Militar Nueva Granada, 2021-02-25)
El presente documento expone el fundamento, desarrollo y resultados obtenidos durante el proceso de entrenamiento y evaluación, de los diferentes modelos computacionales para el reconocimiento de objetos, que utilizan como ...
Aplicação de técnicas de inteligência computacional para análise da expressão facial em reconhecimento de sinais de libras
(Universidade Federal de Minas GeraisUFMG, 2016-12-16)
The automatic recognition of facial expressions is a complex problem that requires the application of Computational Intelligence techniques, especially those related to Pattern Recognition. The use of these techniques aims ...
Implementación de un Sistema de Reconocimiento de Patrones para una Banda TransportadoraImplementation of a Pattern Recognition System for a Conveyor Belt
(Barranquilla,Universidad del Norte, 2020, 2020)
Automated defect detection approach for production processes of patterned steel plates using computer vision and deep learning
(Universidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería MecánicaDepartamento de Ingeniería Mecánica y MecatrónicaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá, 2022)
Anomaly detection is of great importance in the production of steel plates, in order to guarantee that the products are defect-free. Various deep-learning approaches for defect-detection in steel surfaces have emerged in ...