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Applied Soft Computing Technologies: The Challenge of Complexity by Ajith Abraham, Bernard de Baets, Mario Koeppen - Paperback
1,921.50 AED

Applied Soft Computing Technologies: The Challenge of Complexity by Ajith Abraham, Bernard de Baets, Mario Koeppen - Paperback

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1,921.50 AED 

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Category Type
Mathematics
ISBN
9783540316497
Author
Ajith Abraham, Bernard de Baets, Mario Koeppen
Publisher
Springer
Description:

SVMs have emerged as very successful pattern recognition methods in recent years! 16]. SVMs have yielded superior performance in various applications such as; text categorization! 15], and face detection! 12], content-based image retrieval! 6], and learning image similarity! 4]. The motivation here is detection of suspicious bags in a security situation. The usual method for bomb personnel ...

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    Specifications

    Category Type
    Mathematics
    ISBN
    9783540316497
    Languages
    English
    Item EAN
    2724436378080
    People
    Author
    Ajith Abraham, Bernard de Baets, Mario Koeppen
    Category Type
    Mathematics
    ISBN
    9783540316497
    Languages
    English
    Item EAN
    2724436378080
    People
    Author
    Ajith Abraham, Bernard de Baets, Mario Koeppen
    People
    Publisher
    Springer
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    SVMs have emerged as very successful pattern recognition methods in recent years! 16]. SVMs have yielded superior performance in various applications such as; text categorization! 15], and face detection! 12], content-based image retrieval! 6], and learning image similarity! 4]. The motivation here

    SVMs have emerged as very successful pattern recognition methods in recent years! 16]. SVMs have yielded superior performance in various applications such as; text categorization! 15], and face detection! 12], content-based image retrieval! 6], and learning image similarity! 4]. The motivation here is detection of suspicious bags in a security situation. The usual method for bomb personnel is to blow up a suspicious bag, and any explosives contained therein. However, if the bag contains chemical, biological or radiological canisters, this may lead to disastrous results. Furthermore, the bl- up method also destroys important clues such as fingerprints, type of explosive, detonators and other signatures of importance for forensic analysis. Extraction of the bag contents using telerobotics avoids these problems! 8]. In a telerobotic system, it is advantageous to automate bag classification which is coupled to robotic tactics such as shaking out of the bags contents. For cooperative hum- robot interaction, in situations when autonomous capabilities fail, a human may be called in to distinguish the bag type. Here we focus on the autonomous operation of such a telerobotic system. In the autonomous mode, bags are classified by type using SVMs for the purpose of identifying initial manipulator grasp points. One side of the gripper must slide under the bag, and because of slippage, the grasp may fail. Thus, it is of importance to realize the type of bag, and the location of the opening before the grasp point assessment is made.

    Product Features:
    • Category: Mathematics
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Ajith Abraham, Bernard de Baets, Mario Koeppen
    • Publisher: Springer
    • ISBN: 9783540316497
    • Number of Pages: 840
    • Dimensions: 9.21 x 6.14 x 1.73 inches
 

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