Machine intelligence recent advances

Recent Advances reflects current research in natural language processing, data mining, networks and network security, robotics, image processing and bioinformatics. Problems such as named entity recognition, creation of WordNet and part-of-speech tagging have been addressed in Section I. In Section...

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Bibliographic Details
Other Authors: Sharma, Utpal, Nath, Bhabesh, Bhattacharyya, Dhruba K
Format: Book
Language:English
Published: New Delhi Narosa Publishing House 2011.
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245 0 0 |a Machine intelligence  |b recent advances  |c editors Utpal Sharma, Bhabesh Nath, Dhruba K. Bhattacharya 
260 |a New Delhi  |b Narosa Publishing House  |c 2011. 
300 |a vii, 219 p.  |b ill.  |c 26 cm. 
504 |a Includes bibliographical references and index. 
505 0 0 |a Natural Language Processing -- Image Processing -- Data Mining -- Networks and Network Security -- Robotics and Artificial Intelligence -- Bioinformatics. 
520 |a Recent Advances reflects current research in natural language processing, data mining, networks and network security, robotics, image processing and bioinformatics. Problems such as named entity recognition, creation of WordNet and part-of-speech tagging have been addressed in Section I. In Section II, video denoising and compression have been discussed. Section III includes surveys on view selection, subspace clustering and density based spatial data clustering, besides work on forecasting technique and seed selection for C-means and k-means clustering algorithms. Similarly, surveys on MAC protocols for Cognitive Radio, QoS in wireless networks, and mobile agents in application migration are presented in Section IV. This section also contains survey on attacks on spanning tree protocol, VLAN attacks, state based modelling of intrusion detection, and privacy preserving data mining, as well as an authentication mechanism using fingerprint classification. Section V contains an extension of open source iCub simulator, some interesting results on grasp type recognition, and a discussion on the significance of metacognition in building an intelligent system. Finally, Section VI covers a survey on subspace clustering in gene expression data, and a distributed clustering technique for large gene expression data 
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650 0 |a Artificial intelligence. 
700 1 |a Sharma, Utpal 
700 1 |a Nath, Bhabesh 
700 1 |a Bhattacharyya, Dhruba K 
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