PATTERN RECOGNITION
TítuloTeaching and Research Practices in Pattern Recognition (Personal Views and Experiences)
... CS is a part of this research summary, and we would like to believe that it fol- lows suit. Pattern recognition is a truly international subject that benefits from col- laboration across many countries. Due ...
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Pattern recognition applied to airflow recordings to help in sleep Apnea Hypopnea Syndrome diagnosis
... subsequent pattern recognition technique to be applied; and a lter algorithm, which is independent of subsequent ...nal pattern recognition stage. Pattern recognition techniques ...
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Common Visual Pattern Recognition Using Hierarchical Clustering Methods with Asymmetric Networks
... Visual pattern recognition focuses on identifying visual objects that are com- monly presented in two images under comparison. Among the several possible approaches to achieve this end, such as statistical ...
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Pattern recognition in medical images using neural networks
... One of the most important problems of medical diagnosis, in general, is the subjectivity of the specialist. It can be noted, in particular in pattern recognition activities, that the experience of the ...
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Métodos opto-digitales adaptativos para el reconocimiento de patrones en tiempo realAdaptive optodigital methods for real-time pattern recognition
... Pattern recognition is a very important area of image ...for pattern recognition based on correlation were ...object recognition stems from the need to process large images in automated ...
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Contribution of artificial metaplasticity to pattern recognition
... • In 2000 Al-Nuaimy et al [212] addressed the task of locating buried utilities using ground penetrating radar using a neural network classifier, a pattern recognition stage, and additional pre-processing ...
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A better mobile browsing experience through pattern recognition and dynamic restructuring of web pages
... To capture all the divisors (tags <div>), we calculate their probabilities and group them according to the kind of content that should be. Figure 2-3 shows how the probabilities of each selected divisor are ...
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Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics
... high recognition rates in the validation data but the results obtained with the test- ing data were degraded, questioning the generalization capacity of this ...reached recognition rates over 82% when ...
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Pattern recognition glossary pdf
... Constructing new features which are the principal components of a data set. The principal components are random variables of maximal variance constructed from linear combinations of the input features. Equivalently, they ...
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Detection and pattern recognition applied to leaves and chromosomes
... implies pattern recognition where the computer is going to search for some predefined patterns (manual input or learned by the computer itself) and try to give a classification of the object that has been ...
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A pattern recognition strategy for visual grape bunch detection in vineyards
... automatic recognition of grapes and grape bunches could be employed to automate, manage and optimize current agricultural tasks such as harvesting (Luo, Tang, Zou, Ye, et ...
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Speech pattern recognition for forensic acoustic purposes
... The present paper describes the development of a software for analysis of acoustic voice parameters (APAVOIX), which can be used for forensic acoustic purposes, based on the speaker recognition and identification. ...
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TítuloAuthentication of tequilas using pattern recognition and supervised classification
... Fig. 3 reveals that not only the three classes of tequilas can be differentiated grossly but that an inner pattern exists within each group. White tequilas became ordered in a very distinct narrow, elongated ...
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Fast Correction of Tiled Display Systems on Planar Surfaces
... [16] Michael Harville, Bruce Culbertson, Irwin Sobel, Dan Gelb, Andrew Fitzhugh, and Donald Tanguay. 2006. Practical Methods for Geometric and Photometric Correction of Tiled Projector. In Proceedings of the 2006 ...
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Approach to an FPGA embedded, autonomous object recognition system: run-time learning and adaptation
... in pattern recognition, security applications and robot control have been chosen for the task of object recognition within this ...the recognition of ...
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La Correlación Nolineal Dual en el Reconocimiento Óptico de Patrones (I): Principio y Realización Optoelectrónica.
... Pattern recognition is an important task of human vision that has been intended by using machine vision systems along the last four ...its pattern, locating it, identifying it, distinguishing it from ...
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Reconocimiento Automático de Actividades Humanas Basado en el Análisis de Secuencias de Imágenes
... Support vector machines (SVM) have been used as a classification method for many face recognition systems [33,34]. Moreover, they has been successfully applied to facial expression classification [35–37]. So, we ...
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Revista Ingeniería Investigación y Tecnología | Facultad de Ingeniería UNAM
... fault recognition stage based on a pattern recognition techni- que (Multi-Layer Perceptron) performs the diagnosis and calculates the probability of correct diagnostic ...
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Computer simulation of an excess proton in aqueous systems
... ANN pattern recognition ...chart pattern recognition and data mining tools have been linked to our EVB simulation in one framework to get better visualization and to enable analyzing , ...
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Advanced analytics in maintenance management based on ultrasonic guided waves
... The classifiers used to identify the pattern are ANN, DT, DA [244], SVM, KNN [245], and Ensemble Classifiers (see section 5.5.6). The CMa is employed to evaluate the classification using the receiver operating ...
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