Titlebook: Advances in Visual Computing; 8th International Sy George Bebis,Richard Boyle,Michael Papka Conference proceedings 2012 Springer-Verlag Ber

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書目名稱Advances in Visual Computing影響因子(影響力)




書目名稱Advances in Visual Computing影響因子(影響力)學(xué)科排名




書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度




書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Visual Computing被引頻次




書目名稱Advances in Visual Computing被引頻次學(xué)科排名




書目名稱Advances in Visual Computing年度引用




書目名稱Advances in Visual Computing年度引用學(xué)科排名




書目名稱Advances in Visual Computing讀者反饋




書目名稱Advances in Visual Computing讀者反饋學(xué)科排名

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Advances in Visual Computing978-3-642-33191-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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動(dòng)脈

978-3-642-33190-9Springer-Verlag Berlin Heidelberg 2012

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https://doi.org/10.1057/9781137466839atomical landmarks, such as hips, feet, shoulders, or hands. The trajectories are used for the extraction of distance-time dependency signals that express how a distance between a pair of specific landmarks on the human body changes in time as the person walks. The collection of such signals charact

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The Aesthetic Dimensions of Moral Experienceong these biometric features which are unique to each individual, the blood vessel pattern in fingers is superior for identifying individuals and verifying their identities: We may obtain easily the information on blood vessels which is almost impossible to counterfeit because the pattern exists ins

amorphous

Pragmatist Responses to Enlightenment Reasonigher rank Support Tensor Machines (STMs), in which the parameters defining the separating hyperplane form a tensor (tensorplane) that is constrained to be the sum of rank one tensors. The corresponding optimization problem is solved in an iterative manner utilizing the CANDECOMP/PARAFAC (CP) decomp

殘酷的地方

Pragmatist Responses to Enlightenment Reasoncation performance. However, it does not represent block properties. We therefore consider a method for overcoming this limitation. First, we propose the integral modified census transform (iMCT) using integral images, which can compute the mean intensity of the rectangular region rapidly. Using iMC