High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. 52 pp. Englisch. Nº de ref. del artículo: 9786206736936
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. Nº de ref. del artículo: 9786206736936
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract. Nº de ref. del artículo: 987550778
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Nº de ref. del artículo: 9786206736936
Cantidad disponible: 2 disponibles