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Multispectral images segmentation using fuzzy probabilistic local cluster for unsupervised clustering
(Institute of Electrical and Electronics Engineers Inc., 2018)
In Pattern Recognition there are many algorithms it try to solve the problem of grouping objects of the same type, this is called clustering, however the task of dividing these lies not only in the objective function, but ...
Object Recognition Using Hierarchical Temporal Memory
(2018-02-17)
At this time, great effort is being directed toward developing problem-solving technology that mimics human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks ...
An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers
The progress of autonomous driving cars is a difficult movement that causes problems regarding safety, ethics, social acceptance, and cybersecurity. Currently, the automotive industry is utilizing these technologies to ...
An object-based visual selection model combining physical features and memory
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
In this paper, a new visual selection model is proposed, which combines both early visual features and object-based visual selection modulations. This model integrates three main mechanisms. The first is responsible for ...
General Algorithm for the Semantic Decomposition of Geo-Images
(Revista Computación y Sistemas; Vol. 14 No. 4, 2011-06-06)
Abstract. The thesis presents an object oriented methodology for the semantic extraction of a geo-image which is defined by a set of natural language labels. The approach is composed of two main stages: analysis and ...
Effect of perinatal asphyxia on tuberomammillary nucleus neuronal density and object recognition memory: A possible role for histamine?
(Elsevier, 2016)
Perinatal asphyxia (PA) is associated with long-term neuronal damage and cognitive deficits in adulthood, such as learning and memory disabilities. After PA, specific brain regions are compromised, including neocortex, ...
Dataset on object identification training in a construction site [Dataset]
(Universidad de LimaPE, 2021)
Conjunto de datos utilizados en el entrenamiento de un algoritmo para el reconocimiento de maquinaria encontrada en proyectos de construcción. Consta de 1046 imágenes capturadas mediante cámaras fijas en diferentes puntos ...
A fast probabilistic model for hypothesis rejection in SIFT-based object recognition
(SPRINGER-VERLAG BERLIN, 2006)
This paper proposes an improvement over the traditional SIFT-based object recognition methodology proposed by Lowe [3]. This improvement corresponds to a fast probabilistic model for hypothesis rejection (affine solution ...