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Titlebook: Advances in Communication and Computing; Prabin Kumar Bora,S R Mahadeva Prasanna,Navajit Sa Book 2015 Springer India 2015 Artificial Neura

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Block Matching Algorithms for Motion Estimation: A Performance-Based Studyfines a cross section and then calculates the resultant of the stresses acting in it. Instead of describing this resultant by its magnitude, direction and location in space, he usually gives its three components and its moments about three axes. These quantities, commonly known as the normal force,
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Stressed Speech Recognition Using Similarity Measurement on Inner Product Spacef the book, depending on the subject. In some parts ordinary differential equations with constant coefficients are all that is needed. In other sections ordinary equations with variable coefficients, prod­ uct solutions of partial differential equations, or the theory of complex variables will be en
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Book 2015sues. Several contributions have focused on biomedical aspects including contributions related to cancer detection using active learning, application of clinical information in MECG using sample and channel convolution matrices for better diagnostic decision, etc. Some other works have focused on th
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Michael Rosemann,Steve Browningbase collected from a practical speaker verification system. The latter case helps to explore session variability issues and its impact on speaker verification. This information is used for remodeling of the enrolled speaker models, which in turn improves the system performance significantly.
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Overview: The Product Development Processand then implementing the same for CS-MRI reconstruction. Results are also compared with those obtained from some of the most prominent and commonly used sampling patterns, including the . (VD-PDF), the . (VD-Gaus), the . (VD-Rnd), and the . in the CS-MRI literature.
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Overview: The Product Development Processutationally efficient but during the review we have applied the old algorithms along with recently developed Zero Motion preadjusted RTSLS (ZMRTSLS) and Zero Motion preadjusted CTSLS (ZMCTSLS) are found to be more computationally efficient than even ARPS.
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