Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C. V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International

neutrophils

Limerick

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Computer Vision - ACCV 2014 Workshops978-3-319-16634-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

Optometrist

0302-9743 h Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Simila978-3-319-16633-9978-3-319-16634-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

ostensible

The Cultural Sociology of Art and Musicat help to discover visual attributes by clustering. However, the latent attribute structure in real life is multi-relational, e.g. two different sport cars in different poses vs. a sport car and a family car in the same pose - what attribute can dominate similarity? Instead of clustering, a network

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Acetaldehyde

Corporate Culture Out of Control?, LL-SVM is verified to find a balance between accuracy and efficiency. And among all the features including pixel value intensity, Gabor, LBP and HOG features, we find that HOG features are the most appropriate features to detect smiling faces, which, combined with RBF kernel SVM, achieve an accurac

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https://doi.org/10.1007/978-1-137-11639-0 of values tested in cross validation process, . is the number of steps in the Conjugate Gradient method, . is the number of training data, . and . are the dimensions of projection matrix.). The experimental results of our method on UCI datasets for classification task and LFW dataset for face verif

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RENIN