By B. Baranidharan, B. Shanthi (auth.), Dhinaharan Nagamalai, Eric Renault, Murugan Dhanuskodi (eds.)
This ebook constitutes the refereed complaints of the 1st foreign convention on Advances in Parallel, disbursed Computing applied sciences and functions, PDCTA 2011, held in Tirunelveli, India, in September 2011.
The sixty four revised complete papers have been conscientiously reviewed and chosen from over four hundred submissions. supplying a superb foreign discussion board for sharing wisdom and ends up in concept, method and functions of parallel, allotted computing the papers tackle all present concerns during this box with targeted concentrate on algorithms and functions, laptop networks, cyber belief and safety, instant networks, in addition to cellular computing and bioinformatics.
Read or Download Advances in Parallel Distributed Computing: First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, India, September 23-25, 2011. Proceedings PDF
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Additional resources for Advances in Parallel Distributed Computing: First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, India, September 23-25, 2011. Proceedings
Example text
Direction of arrival estimation in partly calibrated time- varying sensor arrays. In: Proc. ICASSP, Salt Lake City, UT, pp. : Direction finding in partly-calibrated sensor arrays composed of multiple subarrays. IEEE Trans. : Subspace-based direction finding in partly calibrated arrays of arbitrary geometry. In: Proc. ICASSP, Orlando, FL, pp. : On uniqueness of direction of arrival estimates using rank reduction estimator (RARE). In: Proc. ICASSP, Orlando, FL, pp. : Direction finding in partly calibrated arrays composed of nonidentical subarrays: A computationally efficient algorithm for the RARE estimator.
The number of varieties in pixel arrangement of each 2x2 typical pattern is also shown in figure 4. By the similar consideration, Chen et al [15] classified and analyzed the code patterns in the face images. They found that in all filter size, the number of code patterns belong to categories 7, 10, and 11 are very few. It means such code patterns are almost not used in face images. Based on this result, a new codebook for 2x2 code patterns is created, and the rules of codebook creation are as follows.
Reliably recognizing known persons while rejecting unknown persons is found to be a much more challenging task. Rejecting unknown faces means that the system has not only to accept wide variations in facial expression, head rotation, and so on, but also to reject patterns which lie quite close in the pattern space. For the evaluation of the rejection performance of the system the databases are divided into two parts containing known faces and unknown faces. In the case of AT & T database, the 40 persons are divided into two parts containing 20 known faces and 20 unknown faces.