Angebote zu "Databases" (16 Treffer)

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Blokdyk, Gerardus: GPU Databases A Complete Gui...
102,89 € *
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Erscheinungsdatum: 17.07.2019, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: GPU Databases A Complete Guide - 2019 Edition, Autor: Blokdyk, Gerardus, Verlag: 5STARCooks, Sprache: Englisch, Schlagworte: BUSINESS & ECONOMICS // General, Rubrik: Wirtschaft // Allgemeines, Lexika, Geschichte, Seiten: 304, Informationen: Paperback, Gewicht: 443 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 28.02.2020
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Blokdyk, Gerardus: GPU Databases A Complete Gui...
110,99 € *
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Erscheinungsdatum: 17.07.2019, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: GPU Databases A Complete Guide - 2019 Edition, Autor: Blokdyk, Gerardus, Verlag: 5STARCooks, Sprache: Englisch, Schlagworte: BUSINESS & ECONOMICS // General, Rubrik: Wirtschaft // Allgemeines, Lexika, Geschichte, Seiten: 304, Informationen: Paperback, Gewicht: 443 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 28.02.2020
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Blokdyk, Gerardus: GPU Databases A Complete Gui...
117,89 € *
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Erscheinungsdatum: 10.10.2019, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: GPU Databases A Complete Guide - 2020 Edition, Autor: Blokdyk, Gerardus, Verlag: 5STARCooks, Sprache: Englisch, Schlagworte: BUSINESS & ECONOMICS // General, Rubrik: Wirtschaft // Allgemeines, Lexika, Geschichte, Seiten: 312, Informationen: Paperback, Gewicht: 455 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 28.02.2020
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GPU Databases A Complete Guide - 2019 Edition
95,49 € *
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GPU Databases A Complete Guide - 2019 Edition ab 95.49 € als Taschenbuch: . Aus dem Bereich: Bücher, Taschenbücher, Wirtschaft & Soziales,

Anbieter: hugendubel
Stand: 28.02.2020
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GPU Databases A Complete Guide - 2020 Edition
102,49 € *
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GPU Databases A Complete Guide - 2020 Edition ab 102.49 € als Taschenbuch: . Aus dem Bereich: Bücher, Taschenbücher, Wirtschaft & Soziales,

Anbieter: hugendubel
Stand: 28.02.2020
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GPU Co-processing Techniques in Databases
49,99 € *
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GPU Co-processing Techniques in Databases ab 49.99 € als Taschenbuch: GPU Techniques. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 28.02.2020
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Efficient trademark retrieval using weighted im...
49,00 € *
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Large image databases find diverse applications in real-life situations. It is essential to develop an efficient technique to grasp required information from these databases. Fast retrieval and robustness are two main criteria for efficient recognition of an object using image databases. Keeping this in mind, the present research work describes a hybrid method using a weighted combination of multiple image features mainly color histogram, distance, and moment parameters for trademark recognition. The computational power is accelerated by employing a low cost NVIDIA''s Compute Unified Device Architecture (CUDA) enabled GPU. Our experimental results show that this new technique provides more robust performance than either of the individual methods and our GPU implementation requires less than 50% of the CPU computation time. This experimentation demonstrates that the method based on multiple weighted images features with cooperative implementation between the CPU and GPU is an effective way of image retrieval from large databases.

Anbieter: Dodax
Stand: 28.02.2020
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SIFT & SURF on GPUs for Feature Extraction
35,90 € *
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CBIR is required since large image databases are used both in scientific and medical domains and in the vast advertising/marketing domain.Since, images are a complex data to handle as they are composed of matrices and vectors of data and also due to multithread execution of algorithms, programmability and low cost, image processing becomes an appropriate field of achieving parallelism. GPU is a powerful graphics engine and a highly parallel programmable processor having better efficiency and high speed that overshadows CPU. A Content Based Image Retrieval system is implemented and tested on benchmark WANG database using suitable and efficient techniques so as to achieve efficient results. The feature extraction phase is parallelized on GPU processor to obtain the speed up. Sequential and parallel implementation of CBIR is done using OpenCV. SURF and SIFT algorithms when implemented on GPU show better performance for feature extraction and for retrieval of images. The execution time is noted and on comparison with its corresponding serial counterpart a considerable speed up has been achieved.

Anbieter: Dodax
Stand: 28.02.2020
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GPU Co-processing Techniques in Databases
49,90 € *
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GPU stands for 'Graphical processing unit' invention of GPU is a revolution in PC industry. Purpose of GPU, is to optimize highly data-parallel for nature of graphics computation & specialized microprocessor offloads and accelerates graphics render from central processor. GPU is a processor specialized for processing graphics. GPU can be defined as, it is a single chip processor used for processing 2 and 3 dimensional transformation operations in context of computer graphics.

Anbieter: Dodax
Stand: 28.02.2020
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