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Titlebook: Leukocyte Typing II; Volume 1 Human T Lym Ellis L. Reinherz,Barton F. Haynes,Irwin D. Bernst Conference proceedings 1986 Springer-Verlag Ne

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Paul J. Martin,Jeffrey A. Ledbetter,Patrick G. Beatty,Edward A. Clark,John A. Hansenision does not necessarily conform to our naive, uninformed expectations. Some of the ideas and methods that we have encountered in the earlier pages are counter-intuitive. In particular, introspective thought is not a viable means of designing vision systems. We cannot design a vision system by sim
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Istvan Ando,Dorothy H. Crawford,Peter C. L. Beverleyop, and detection accuracy of 98.1%, 92.5%, and 83.0% is achieved. The features are extracted using CNN, and tumor detection is done by using four supervised machine learning classifiers. The classifiers used are SVM, KNN classifier, Naïve Bayes classifier, and discriminant analysis. The accuracy ac
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Alain Bernard,Philippe Brottier,Eric Georget,Virginia Lepage,Laurence Boumselling and maintaining a particular level of intimacy. This theory has been evaluated and used in Virtual Reality settings where people interact with Virtual Humans. In this study we disentangle the single and joint effects of proxemic and gaze behavior in this setting further, and examine how these be
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Stefan C. Meuer,Thomas H. Hutteroth,K. H. Meyer zum Büschenfeldeconversants’ personality, cultural knowledge, the ability to observe and reason about social relationships, and the ability to project and detect affective cues. For virtual agents to be socially intelligent, they must have an expressive conversational repertoire. Moreover, scientific progress in th
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