Kavitha Chaduvula (15 results)

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Scholars' Press 2014-03-18, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: Chiron Media, Wallingford, United KingdomChiron Media

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover
    • Print on Demand

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Scholars' Press Mrz 2014, 2014

    3639713249 / 9783639713244

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Each image is partitioned into 4×6 grids of equal-sized sub-blocks. The size of the sub-block is maintained as 64x64 pixels. Further the size of the sub-block is fixed for all the images. Then the color and texture features of each sub-block are computed. A color feature descriptor Local AutoCorrelogram (LAC) which is invariant to translation and occlusion is proposed to represent the color of the sub-block. Similarly, the texture of the sub-block is extracted based on Edge Oriented Gray Tone Spatial Dependency Matrix (EOGTSDM) of an image. An image matching scheme based on Integrated Minimum Cost Sub-block Matching (IMCSM) principle is used to compare the query and the target image, which in turn reduces the cost of finding the integrated matching distance. The adjacency matrix of a bipartite graph is formed using the sub-blocks of query and target image, which is used for matching the images. To further improve the quality of retrieval, a Relevance Feedback approach based on a feature re-weighting scheme is used to improve the retrieval accuracy. The experimental results show that this method has improved retrieval precision and recall. 168 pp. Englisch.

  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Each image is partitioned into 4×6 grids of equal-sized sub-blocks. The size of the sub-block is maintained as 64x64 pixels. Further the size of the sub-block is fixed for all the images. Then the color and texture features of each sub-block are computed. A color feature descriptor Local AutoCorrelogram (LAC) which is invariant to translation and occlusion is proposed to represent the color of the sub-block. Similarly, the texture of the sub-block is extracted based on Edge Oriented Gray Tone Spatial Dependency Matrix (EOGTSDM) of an image. An image matching scheme based on Integrated Minimum Cost Sub-block Matching (IMCSM) principle is used to compare the query and the target image, which in turn reduces the cost of finding the integrated matching distance. The adjacency matrix of a bipartite graph is formed using the sub-blocks of query and target image, which is used for matching the images. To further improve the quality of retrieval, a Relevance Feedback approach based on a feature re-weighting scheme is used to improve the retrieval accuracy. The experimental results show that this method has improved retrieval precision and recall.

  • Language: English

    Published by Scholars\' Press, 2014

    3639713249 / 9783639713244

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chaduvula KavithaDr.Kavitha.Chaduvula obtained her Ph.D in Computer Science and Engineering at JNTUK, Kakinada. Dr.Kavitha is working as a professor of Computer Science and Engineering department in Gudlavalleru Engineering college. .

  • Language: English

    Published by Scholars' Press Mär 2014, 2014

    3639713249 / 9783639713244

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Each image is partitioned into 4×6 grids of equal-sized sub-blocks. The size of the sub-block is maintained as 64x64 pixels. Further the size of the sub-block is fixed for all the images. Then the color and texture features of each sub-block are computed. A color feature descriptor Local AutoCorrelogram (LAC) which is invariant to translation and occlusion is proposed to represent the color of the sub-block. Similarly, the texture of the sub-block is extracted based on Edge Oriented Gray Tone Spatial Dependency Matrix (EOGTSDM) of an image. An image matching scheme based on Integrated Minimum Cost Sub-block Matching (IMCSM) principle is used to compare the query and the target image, which in turn reduces the cost of finding the integrated matching distance. The adjacency matrix of a bipartite graph is formed using the sub-blocks of query and target image, which is used for matching the images. To further improve the quality of retrieval, a Relevance Feedback approach based on a feature re-weighting scheme is used to improve the retrieval accuracy. The experimental results show that this method has improved retrieval precision and recall.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 168 pp. Englisch.

  • Language: English

    Published by Scholars' Press, 2014

    3639713249 / 9783639713244

    • Softcover
    • Print on Demand

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    US$ 8,981.04

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    PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.