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[PDF] Top 20 Mineral grains recognition using computer vision and machine learning

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Mineral grains recognition using computer vision and machine learning

Mineral grains recognition using computer vision and machine learning

... truth and the optical image, the instances (attributes and labels) dataset had to be ...of machine learning algorithms and their performances during the classification test ( Yen ... Voir le document complet

10

Simulated prosthetic vision: The benefits from computer-based object recognition and localization

Simulated prosthetic vision: The benefits from computer-based object recognition and localization

... Learning Because the same array (100Central) was used at the beginning and the end of the experiment, it was possible to look for a potential learning ...h using the device, the success rate ... Voir le document complet

13

Automatic inspection of aeronautical mechanical assemblies using 2D and 3D computer vision

Automatic inspection of aeronautical mechanical assemblies using 2D and 3D computer vision

... detector and the edge detector proposed in [ 5 ...ing machine learning based detectors we avoid the sensi- tive phase of parameters tuning unavoidable in the case of Canny ...the machine ... Voir le document complet

11

Credit Risk Analysis using Machine and Deep Learning models

Credit Risk Analysis using Machine and Deep Learning models

... the learning rate for the stochastic gradient descent optimisation procedure can increase performance and reduce training ...simplest and perhaps most used adaptations of learning rate during ... Voir le document complet

32

Atoms of recognition in human and computer vision

Atoms of recognition in human and computer vision

... NY, and approved January 11, 2016 (received for review July 8, 2015) Discovering the visual features and representations used by the brain to recognize objects is a central problem in the study of ...object ... Voir le document complet

7

Prediction of creep failure time using machine learning

Prediction of creep failure time using machine learning

... timings and intensities of acoustic emissions or simple signatures of progressive spatial ...magnitudes and locations with high resolution, which makes the proposed machine learning method an ... Voir le document complet

12

Continuous in situ measurement of quenching distortions using computer vision

Continuous in situ measurement of quenching distortions using computer vision

... Microstructures and residual stresses are often generated into metallic components by applying a heat treatment ...hardness and produces compressive residual stresses near the ...gradients and phase ... Voir le document complet

14

Design of an electrocardiogram machine using a personal computer

Design of an electrocardiogram machine using a personal computer

... BEGIN DISPLAY TEXT LEAD SELECTOR- SAVE DATA SETUP OF SERIAL COMMUNICATION GRAPHIC INTERFACE CLOSE SERIAL COMMUNICATION CAPTURE DATA PLOT -- +- GRAPH PRINT GRAPHS. Figure 5.1 Graphic [r] ... Voir le document complet

99

Recognition of Printed Arabic Script Using Support Vector Machine

Recognition of Printed Arabic Script Using Support Vector Machine

... Chinese and other languages, but, at the same time the nature of the Arabic script even in its printed form poses real challenges to ...characters recognition accuracy across using a combination of ... Voir le document complet

93

Machine Learning using Multi-Objective Evolutionary Algorithms

Machine Learning using Multi-Objective Evolutionary Algorithms

... (MOPs) and their resolution ...intuitive and simplest reasoning to solve such ...useless and ineffective because they are not able to provides a set of solutions and they cannot optimize ... Voir le document complet

126

Computer vision methods for unconstrained gesture recognition in the context of sign language annotation

Computer vision methods for unconstrained gesture recognition in the context of sign language annotation

... Automatic Sign Language annotation, in terms of glosses, using a linguistic description of signs adapted to computer vision features through sign language generation.. We propose to addr[r] ... Voir le document complet

221

Randomness and Geometric Features in Computer Vision

Randomness and Geometric Features in Computer Vision

... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, Ir[r] ... Voir le document complet

55

Contactless voltage and current estimation using signal processing and machine learning

Contactless voltage and current estimation using signal processing and machine learning

... electrode and the power cable is not equal to the capacitance between the power cable and the sensing ...were using wires to provide a common mode calibration signal from circuits outside the PCB ... Voir le document complet

330

Zebrafish Skeleton Measurements using Image Analysis and Machine Learning Methods

Zebrafish Skeleton Measurements using Image Analysis and Machine Learning Methods

... RGB HSV Edges Textures References [ 1] Kimmel et al., The shaping of pharyngeal cartilages during early development of the zebrafish. Dev. Biol., vol. 203, pages 245-263, 1998. [2] Dumont et al., Fast Multi-Class Image ... Voir le document complet

1

Monitoring of aircraft operation using statistics and machine learning

Monitoring of aircraft operation using statistics and machine learning

... titioning, machine learning ...generation and acquisition of large amounts of data in all ...observed and related actions taken), (ii) strings of automatically generated messages (such as an ... Voir le document complet

11

Credit Risk Analysis Using Machine and Deep Learning Models

Credit Risk Analysis Using Machine and Deep Learning Models

... D2 and D3 select an even lower level of granularity of financial statement data (short-term bank debt and ...select and work with the data they consider for scoring a company and as a result ... Voir le document complet

21

Agent-Based Model Calibration using Machine Learning Surrogates

Agent-Based Model Calibration using Machine Learning Surrogates

... simple and well behaved, one can derive a closed form solution for the distributional properties of a specific output of the model, and then estimating the parameters governing such distributions (see ... Voir le document complet

33

Malware Detection in PDF Files Using Machine Learning

Malware Detection in PDF Files Using Machine Learning

... classifier, using SVM algorithm, as it provides good ...trained and tested our SVM with a dataset of 10 000 clean and 10 000 malicious PDF files from the Contagio database (Contagio Dump, 2013), ... Voir le document complet

9

Anomaly-based network intrusion detection using machine learning

Anomaly-based network intrusion detection using machine learning

... ISSUES AND CHALLENGES on a chip, which are a lot more computationally ...model and propagate it to the others to continuously adapt to the evolutions of the ...network and the amount of work assigned ... Voir le document complet

123

Autonomous navigation in unknown environments using machine learning

Autonomous navigation in unknown environments using machine learning

... To evaluate this novelty detection approach on a visual navigation domain, we trained an autoencoder on a set of simulated camera images from a hallway-type environmen[r] ... Voir le document complet

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