Read e-book online Advances in Intelligent Informatics (Advances in Intelligent PDF

By Sabu M. Thampi, El-Sayed M. El-Alfy, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne

ISBN-10: 331911218X

ISBN-13: 9783319112183

This ebook encompasses a number of refereed and revised papers of clever Informatics tune initially offered on the 3rd overseas Symposium on clever Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers chosen for this song hide numerous clever informatics and similar themes together with sign processing, development acceptance, picture processing, info mining and their purposes.

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Additional info for Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing, Volume 320)

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Automated medical image segmentation techniques. Journal of Medical Physics / Association of Medical Physicists of India 35(1), 3–14 (2010) 9. : GPU-accelerated Interactive Visualization of 3D Volumetric Data using CUDA. World Scientific International Journal of Image and Graphics 13(2), 1340003–13400017 (2013) 10. : Mobile Augmented Reality Based Interactive Teaching & Learning System with Low Computation Approach. In: IEEE Symposium on Computational Intelligence in Control and Automation (CICA), pp.

LNCS, vol. 7077, pp. 174–181. : Performance evaluation of a fraud detection system based artificial immune system on the cloud. : Revisiting negative selection algorithms. : Image Similarity Search using a Negative Selection Algorithm. : Improved thresholding based on negative selection algorithm (NSA). : A comprehensive review of image enhancement techniques. : Gray-scale image enhancement as an automatic process driven by evolution. : A genetic algorithm approach to color image enhancement. : A Novel Fault Diagnostics and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator.

Ridgelet transformation is applied to extract the salient features out of the derived face image and is projected onto the reduced dimensionality eigen subspace. We have used five different distance measures to validate the query face image. To assess our proposed technique we espoused the standard experimental procedure [1], where five random images from every class is used for training and rest of the images are entailed for testing purpose. We performed experiments with different γ holding ξ value in both train and test phase.

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Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing, Volume 320) by Sabu M. Thampi, El-Sayed M. El-Alfy, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne


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