Download Artificial Intelligence and Signal Processing: International by Ali Movaghar, Mansour Jamzad, Hossein Asadi PDF

By Ali Movaghar, Mansour Jamzad, Hossein Asadi

This booklet constitutes the refereed lawsuits of the overseas Symposium, on man made Intelligence and sign Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 complete papers awarded have been rigorously reviewed and chosen from 106 submissions. they're geared up in topical sections resembling picture processing, laptop imaginative and prescient, scientific snapshot processing, sign processing, speech processing, common language processing, platforms and AI functions, robotics.

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Read or Download Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers PDF

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Extra resources for Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers

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The parameters of this kernel have been calculated using high order cumulants. For this purpose the estimation of energy distribution in Contourlet transform has been used. Our experimental results show that the proposed method is effective in Image segmentation containing inhomogeneity intensities such as SAR images and also outperforms wavelet based methods. Keywords: SAR Á Levelset Á Segmentation Á kurtosis Á Contourlet 1 Introduction SAR imaging is widely used in lots of applications in recent years.

F) SP result. (g) DCHWT result. (h) DCT + Variance + CV result. (i) Proposed method. (j), (k), (l), (m), (n),(o),(p) are the local magnified version of (c), (d), (e), (f), (g),(h) and (i) respectively Multi-focus Image Fusion for Visual Sensor Networks in Wavelet Domain 29 DWT, SIDWT, SP, DCHWT and DCT + Variance + CV, given in Fig. 2d–h, respectively. As it can be seen in the magnified images corresponding to DWT, SIDWT, SP, DCHWT and DCT + Variance + CV, respectively, in Fig. 2k–o, the wavelet based algorithms suffer from a kind of ringing artifact.

3D face recognition method using 2DPCA Euclidean distance classification. ACEEE Int. J. Control Syst. Instrum. 3(1), 1–5 (2012) 17. : Age-group differences in interference from young and older emotional faces. Cogn. Emot. 24(7), 1095–1116 (2010) 18. : Emotion recognition system based on facial expression. S. ir Abstract. This paper proposes some novel approaches based on spatial homogeneous regions to improve hyperspectral remotely sensed landscape’s classification. Our proposed approaches are investigation of three segmentation techniques (watershed segmentation, hierarchical segmentation, partial clustering) in hyperspectral image and combination of spectral and spatial information in classification with majority vote rule.

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