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Transactions on computational scienc...

Gavrilova, Marina L.

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Transactions on computational science XXV

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Transactions on computational science XXV/ edited by Marina L. Gavrilova ... [et al.].
其他題名:	Transactions on computational science 25
其他作者:	Gavrilova, Marina L.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
面頁冊數:	xiv, 201 p. :ill., digital ;24 cm.
內容註:	Perceptual Visualization Enhancement of Infrared Images Using Fuzzy Sets -- Dance Composition Using Microsoft Kinect -- A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background -- Novel Technique in Block Truncation Coding Based Feature Extraction for Content Based Image Identification -- Objective Evaluation Method of Usability Using Parameters of User's Fingertip Movement -- Medical Image Fusion Using Daubechies Complex Wavelet and Near Set -- A Hybrid Method for Context-Based Gait Recognition Based on Behavioral and Social Traits -- Cluster Head Selection Heuristic Using Weight and Rank in WSN -- An FPGA-Based Multiple-Weight-and-Neuron-Fault Tolerant Digital Multilayer Perceptron -- Performance Analysis of Coded Cooperation and Space Time Cooperation with Multiple Relays in Nakagami-m Fading -- Urban Railway Operation Plan Subject to Disruption.
Contained By:	Springer eBooks
標題:	Computer vision. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-47074-9
ISBN:	9783662470749 (electronic bk.)

Transactions on computational science XXV
Transactions on computational science XXV[electronic resource] /Transactions on computational science 25edited by Marina L. Gavrilova ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xiv, 201 p. :ill., digital ;24 cm. - Lecture notes in computer science,90300302-9743 ;. - Lecture notes in computer science ;5353..

Perceptual Visualization Enhancement of Infrared Images Using Fuzzy Sets -- Dance Composition Using Microsoft Kinect -- A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background -- Novel Technique in Block Truncation Coding Based Feature Extraction for Content Based Image Identification -- Objective Evaluation Method of Usability Using Parameters of User's Fingertip Movement -- Medical Image Fusion Using Daubechies Complex Wavelet and Near Set -- A Hybrid Method for Context-Based Gait Recognition Based on Behavioral and Social Traits -- Cluster Head Selection Heuristic Using Weight and Rank in WSN -- An FPGA-Based Multiple-Weight-and-Neuron-Fault Tolerant Digital Multilayer Perceptron -- Performance Analysis of Coded Cooperation and Space Time Cooperation with Multiple Relays in Nakagami-m Fading -- Urban Railway Operation Plan Subject to Disruption.

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 25th issue of the Transactions on Computational Science journal, consists of two parts. Part I, which is guest edited by Khalid Saeed, Nabendu Chaki and Soharab Hossain Shaikh, covers the areas of computer vision, image processing for biometric security, information fusion, and Kinect activity recognition. The papers in Part II focus on optimization through novel methods for data fusion, clustering in WSN, fault-tolerance, probability, weight assignment and risk analysis.

ISBN: 9783662470749 (electronic bk.)

Standard No.: 10.1007/978-3-662-47074-9doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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