Rubia Fatima (56 results)
- Softcover
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Bronquitis infecciosa. Principales retos en avicultura
Rubia Rech, Raquel; dos Santos, Igor Leonardo; Montassier, Hélio José; Shivaprasad, H. L.; Silva de França, Monique; Silva Montassier, Maria de Fátima; Hiromi Okino, Cintia
- Softcover
Seller: AG Library, Malaga, MA, SpainAG Library
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Condition: New. Idioma/Language: Español. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.
- Softcover
Seller: moluna, Greven, Germanymoluna
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Gender recognition using facial images | Rubia Fatima (u. a.) | Taschenbuch | 96 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200230768 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …
- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
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- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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- Hardcover
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- Hardcover
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- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Hardcover
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- Softcover
Seller: KALAMO BOOKS, Burriana, CS, SpainKALAMO BOOKS
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- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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- Softcover
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- Hardcover
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- Softcover
Seller: moluna, Greven, Germanymoluna
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 63.48
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this study is to find out which of the most-widely used machine learning algorithms perform well for gender recognition. The aim of the study is to develop a system that can recognize the gender of a human on the basis of frontal facial features only. This system will classify the unknown facial images into male or female by comparing it with the images in the training set. The comparison will be done between most commonly used techniques for gender recognition that are the Genetic Algorithm (GA) and Support Vector Machine (SVM ) based on the facial features of a static image. Our results showed that our proposed SVM is better in detecting gender as compared to Genetic Algorithm. 96 pp. Englisch.…
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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US$ 52.55
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fatima RubiaRubia Fatima received her Master s degree in Information Technology (IT) from Bahauddin Zakariya University (B.Z.U), Multan, Pakistan in 2016. Currently, she is pursuing her Ph.D. in Software Engineering from School of So.…
Language: Spanish
Published by Ediciones Nuestro Conocimiento Mai 2022, 2022
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 63.48
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -El objetivo principal de este estudio es averiguar cuáles son los algoritmos de aprendizaje automático más utilizados para el reconocimiento del género. El objetivo del estudio es desarrollar un sistema que pueda reconocer el género de un ser humano basándose únicamente en los rasgos faciales frontales. Este sistema clasificará las imágenes faciales desconocidas en masculinas o femeninas comparándolas con las imágenes del conjunto de entrenamiento. La comparación se hará entre las técnicas más utilizadas para el reconocimiento de género que son el Algoritmo Genético (GA) y la Máquina de Vectores de Apoyo (SVM ) basada en las características faciales de una imagen estática. Nuestros resultados muestran que nuestra SVM propuesta es mejor en la detección del género en comparación con el Algoritmo Genético. 72 pp. Spanisch.…
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 72.25
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of this study is to find out which of the most-widely used machine learning algorithms perform well for gender recognition. The aim of the study is to develop a system that can recognize the gender of a human on the basis of frontal facial features only. This system will classify the unknown facial images into male or female by comparing it with the images in the training set. The comparison will be done between most commonly used techniques for gender recognition that are the Genetic Algorithm (GA) and Support Vector Machine (SVM ) based on the facial features of a static image. Our results showed that our proposed SVM is better in detecting gender as compared to Genetic Algorithm.…
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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US$ 63.48
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this study is to find out which of the most-widely used machine learning algorithms perform well for gender recognition. The aim of the study is to develop a system that can recognize the gender of a human on the basis of frontal facial features only. This system will classify the unknown facial images into male or female by comparing it with the images in the training set. The comparison will be done between most commonly used techniques for gender recognition that are the Genetic Algorithm (GA) and Support Vector Machine (SVM ) based on the facial features of a static image. Our results showed that our proposed SVM is better in detecting gender as compared to Genetic Algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 63.48
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -L'objectif principal de cette étude est de déterminer quels sont les algorithmes d'apprentissage automatique les plus utilisés pour la reconnaissance du sexe. L'objectif de l'étude est de développer un système capable de reconnaître le sexe d'un être humain sur la base des caractéristiques faciales frontales uniquement. Ce système classera les images faciales inconnues comme masculines ou féminines en les comparant aux images de l'ensemble d'apprentissage. La comparaison sera faite entre les techniques les plus couramment utilisées pour la reconnaissance du sexe, à savoir l'algorithme génétique (GA) et la machine à vecteur de support (SVM), sur la base des caractéristiques faciales d'une image statique. Nos résultats ont montré que le SVM que nous proposons est meilleur pour détecter le genre que l'algorithme génétique. 72 pp. Französisch.…
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 72.25
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El objetivo principal de este estudio es averiguar cuáles son los algoritmos de aprendizaje automático más utilizados para el reconocimiento del género. El objetivo del estudio es desarrollar un sistema que pueda reconocer el género de un ser humano basándose únicamente en los rasgos faciales frontales. Este sistema clasificará las imágenes faciales desconocidas en masculinas o femeninas comparándolas con las imágenes del conjunto de entrenamiento. La comparación se hará entre las técnicas más utilizadas para el reconocimiento de género que son el Algoritmo Genético (GA) y la Máquina de Vectores de Apoyo (SVM ) basada en las características faciales de una imagen estática. Nuestros resultados muestran que nuestra SVM propuesta es mejor en la detección del género en comparación con el Algoritmo Genético.…
