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Recognizing Hand Drawn Noisy Shapes Using Moments Descriptors

Recognizing Hand Drawn Noisy Shapes Using Moments Descriptors ab 58.99 € als Taschenbuch: Hand Drawn Shapes using Moment Descriptor under Rotation Scaling Translation Optimization and Noise. Aus dem Bereich: Bücher, Wissenschaft, Mathematik,

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Price: 58.99 EUR excl. shipping

Un enfoque para la identificación de billetes falsos

La identificación de la moneda es la aplicación de métodos sistemáticos para determinar la autenticidad de la moneda cuestionada. Sin embargo, el análisis de identificación es una tarea difícil que requiere examinadores especialmente formados; el reto más importante es automatizar el proceso de análisis reduciendo el trabajo humano y el tiempo. Las características de color y textura se utilizan para la clasificación de una imagen. Esta investigación presenta las técnicas utilizadas para la extracción de características, la identificación y la clasificación de billetes falsos y auténticos. Se presenta un método sencillo de identificación de billetes falsos, que utiliza automáticamente técnicas de procesamiento de imágenes. La característica de color y textura de una moneda se utiliza para la identificación. El descriptor de color, la media y la desviación estándar se calculan a partir de muestras que se comparan con los parámetros definidos previamente. La entropía y la correlación del parámetro de textura se calculan a partir de diferentes conjuntos de imágenes de la base de datos. Si la puntuación de coincidencia está por debajo del umbral, la imagen de la moneda de entrada se clasifica como billete falso. De lo contrario, la moneda es auténtica. El enfoque de procesamiento de imágenes es muy útil para la clasificación de diferentes tipos de moneda.

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Price: 28.99 EUR excl. shipping

American Legends: The Life of Marilyn Monroe , Hörbuch, Digital, ungekürzt, 72min

The truth is I've never fooled anyone. I've let people fool themselves. They didn't bother to find out who and what I was. Instead, they would invent a character for me. I wouldn't argue with them. They were obviously loving somebody I wasn't. When they found this out, they would blame me for disillusioning them and fooling them. - Marilyn Monroe A lot of ink has been spilled covering the lives of history's most influential figures, but how much of the forest is lost for the trees? In Charles River Editors' American Legends series, listeners can get caught up to speed on the lives of America's most important men and women in the time it takes to finish a commute, while learning interesting facts long forgotten or never known. Few actresses lived their lives in the public eye more than Marilyn Monroe, and yet her life remains shrouded in mystery to this day. While it's common knowledge that Marilyn's life is a rags-to-riches story, her life is bookended by hazy details surrounding her early life and even more mysterious death. Who was Norma Jean Baker? Who was Marilyn Monroe? The unknown has contributed to the mythology that has since become part of her legacy, and she nurtured it. Marilyn was adept at constructing a fanciful mystique about her early years, and it's become all but impossible to disentangle the truth from the narrative that Marilyn helped establish. Fittingly, even though Marilyn is instantly recognizable and still one of film's greatest icons, her films remain unfamiliar to the vast majority of the public. Most people have some preconception of Marilyn's film persona, seeing her as the "dumb blonde" without a brain who existed only in order to be gazed upon. However, one of the essential questions concerning Marilyn's life involves the accuracy of the "Marilyn stereotype": is the "dumb blonde" identity an accurate descriptor of her film roles, and how does it compare to Marilyn's personality off of the mo ungekürzt. Language: English. Narrator: Regina O'Brien. Audio sample: https://samples.audible.de/bk/acx0/044628/bk_acx0_044628_sample.mp3. Digital audiobook in aax.

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Price: 9.95 EUR excl. shipping

Analysis of Distributional Data (eBook, PDF)

In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented. Distributional data, i.e., data where a distribution rather than a single value is recorded for each descriptor, on each unit, come into this framework. Distributional data may result from the aggregation of large amounts of open/collected/generated data, or it may be directly available in a structured or unstructured form, describing the variability of some features. This book provides models and methods for the representation, analysis, interpretation, and organization of distributional data, taking into account its specific nature, and not relying on a reduction to single values, to be conform to classical paradigms.Conceived as an edited book, gathering contributions from multiple authors, the book presents alternative representations and analysis' methods for distributional data of different types, and in particular,-Uni- and bi-variate descriptive statistics for distributional data-Clustering and classification methodologies-Methods for the representation in low-dimensional spaces-Regression models and forecasting approaches for distribution-valued variables Furthermore, the different chapters -Feature applications to show how the proposed methods work in practice, and how results are to be interpreted, -Often provide information about available software. The methodologies presented in this book constitute cutting-edge developments for stakeholders from all domains who produce and analyse large amounts of complex data, to be analysed in the form of distributions. The book is hence of interest for companies operating not only in the area of data analytics, but also on logistics, energy and finance. It also concerns national statistical institutes and other institutions at European and international level, where microdata is aggregated to preserve confidentiality and allow for analysis at the appropriate regional level. Academics will find in the analysis of distributional data a challenging up-to-date field of research.

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Price: 38.95 EUR excl. shipping

Analysis of Distributional Data (eBook, ePUB)

In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented. Distributional data, i.e., data where a distribution rather than a single value is recorded for each descriptor, on each unit, come into this framework. Distributional data may result from the aggregation of large amounts of open/collected/generated data, or it may be directly available in a structured or unstructured form, describing the variability of some features. This book provides models and methods for the representation, analysis, interpretation, and organization of distributional data, taking into account its specific nature, and not relying on a reduction to single values, to be conform to classical paradigms.Conceived as an edited book, gathering contributions from multiple authors, the book presents alternative representations and analysis' methods for distributional data of different types, and in particular,-Uni- and bi-variate descriptive statistics for distributional data-Clustering and classification methodologies-Methods for the representation in low-dimensional spaces-Regression models and forecasting approaches for distribution-valued variables Furthermore, the different chapters -Feature applications to show how the proposed methods work in practice, and how results are to be interpreted, -Often provide information about available software. The methodologies presented in this book constitute cutting-edge developments for stakeholders from all domains who produce and analyse large amounts of complex data, to be analysed in the form of distributions. The book is hence of interest for companies operating not only in the area of data analytics, but also on logistics, energy and finance. It also concerns national statistical institutes and other institutions at European and international level, where microdata is aggregated to preserve confidentiality and allow for analysis at the appropriate regional level. Academics will find in the analysis of distributional data a challenging up-to-date field of research.

Shop: buecher
Price: 38.95 EUR excl. shipping