[PDF] Top 20 Vehicle Type Detection by Convolutional Neural Networks
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Vehicle Type Detection by Convolutional Neural Networks
... for vehicle type detection in traffic videos is ...previous vehicle tracking system ...the type of the vehicles which appear in the ...of Convolutional Neural Network (CNN) ... See full document
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Microcalcification Detection Applying Artificial Neural Networks and Mathematical Morphology in Digital Mammograms
... by the network through a learning process known as the Back Propagation (BP) algorithm. The BP algorithm has emerged as the workhorse for the design of a special class of layered FFNN. A FFNN has an input layer of ... See full document
6
Homography estimation with deep convolutional neural networks by random color transformations
... supported by the Ministry of Economy and Competitiveness of Spain under grants TIN2016-75097-P and ...supported by the Ministry of Science, Innovation and Universities of Spain [grant number RTI2018-094645- ... See full document
11
Anomalous behaviour detection in video surveillance scenes
... anomaly detection system could include a human activity recognition ...anomaly detection and, then, to study and implement a state-of-the-art human activity recognition ...Recurrent Convolutional ... See full document
86
Implementing YOLO algorithm for real time object detection on embedded system
... Object detection deals with classifying and locating multiples objects in images and videos by using a specific type of artificial neural networks known as Convolutional ... See full document
86
Parkinsons Disease Detection by using Isosurfaces with Convolutional Neural Networks
... Database Region of Interest in DaTSCAN imaging Modeling the striatum using isosurfaces Classification using Deep Learning. Results[r] ... See full document
16
Detection of Acoustic Patterns in Broadcast News using Neural Networks
... jingle detection module, represented in ...a neural network classifier of the type MLP (Multi-Layer Perceptron) that classifies these acoustic feature vectors and is trained to estimate at the output ... See full document
6
Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms
... way, convolutional neuronal networks can be applied to this purpose, for example ...of Convolutional Neural Network (CNN) has been used, namely AlexNet ...like vehicle classification in ... See full document
11
Improved crash detection system for motorcycles based on neural networks
... train neural network (NN) and the other is the iterative tuning of the parameters of the networks by these learning ...feed-forward neural networks (SLFNs) which randomly selected the ... See full document
139
Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks
... MC detection system that can help radiologists to improve the diagnosis of breast cancer at an early ...mentation by the k-means algorithm, feature extraction based on window-based features such as the mean ... See full document
11
TítuloAutomated early detection of drops in commercial egg production using neural networks
... other detection problems with low-frequency events, rare examples contain relevant information, such as an early warning system for industrial equipment ...The detection of abnormal values in the production ... See full document
16
Glucose-Insulin regulator for type 1 diabetes using high order neural networks
... for Type 1 Diabetes using artificial neural networks (ANN) is ...order neural network in order to identify and control a nonlinear dynamical system which represents the pancreas’ beta-cells ... See full document
8
Pollutant concentrations and Meteorological data classification by Neural Networks
... Abstract-This paper present an environmental contingency forecasting tool based on Neural Networks (NN). Forecasting tool analyzes every hour and daily Sulphur Dioxide (S02) concentrations and ... See full document
5
Detection of breast lesions in medical digital imaging using neural networks
... Different studies on using data mining in the processing of medical images have rendered very good results using neural networks for classification and grouping. In recent years different computerized ... See full document
10
Parallel backpropagation neural networks forTask allocation by means of PVM
... A neural network is, by itself, an inherently parallel system where many, extremely simple, processing units work simultaneously in the same problem building up a computational device which possess ... See full document
12
Bibliografia_15.pdf
... Widrow, “Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights”, Proceedings of the International Joint Conference on Neural Networ[r] ... See full document
6
Reconocimiento de objetos del hogar, usando redes neuronales convolucionales para personas con discapacidad visual
... Para el reconocimiento de imágenes mediante el uso de la tecnología para personas con discapacidad visual, se hace uso de las redes neuronales convolucionales (CNNs por sus iniciales en inglés), “las cuales son un modelo ... See full document
19
Proposal of a dynamic performance index to analyze driving pattern effect on car emissions
... are: type of road, slope and density of crossroads. The type of road is an index defined from 0 to 1 that indicates the traffic constriction as follow: 0 for very high constriction and 1 for very low ... See full document
9
Detection of Anomalies in Water Networks by Functional Data Analysis
... 2.4.3. Detection of Functional Outliers by Archetype Analysis. Our proposal is based on archetype analysis (AA), which was introduced by Cutler and Breiman [45]. The objective of AA is to approximate ... See full document
14
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages
... The data needed for the supervised learning process were obtained by labelling these orthoimages divided in tiles using a cartographic viewer based on Web Map Service (WMS) [27]. The task involved performing a ... See full document
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