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Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features.

, , , , and . IEEE Trans. Cybernetics, 49 (2): 380-387 (2019)

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Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features., , , , and . IEEE Trans. Cybernetics, 49 (2): 380-387 (2019)KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge., , , , , and . ACM Trans. Inf. Syst., 34 (1): 4:1-4:25 (2015)Global Optimization for Advertisement Selection in Sponsored Search., , , and . J. Comput. Sci. Technol., 30 (2): 295-310 (2015)A tri-mode high light-load efficiency BUCK converter for mobile phone application., and . IEICE Electronic Express, 13 (10): 20160360 (2016)A tri-mode high light-load efficiency BUCK converter for mobile phone application., and . IEICE Electronic Express, 13 (10): 20160360 (2016)KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial., , , , , , , , , and 1 other author(s). KDD, page 1693-1702. ACM, (2017)Co-learning of Word Representations and Morpheme Representations., , , , and . COLING, page 141-150. ACL, (2014)Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body., , , and . PCM (2), volume 9917 of Lecture Notes in Computer Science, page 490-497. Springer, (2016)Learning Effective Word Embedding using Morphological Word Similarity., , , , and . CoRR, (2014)On improving local website search using web server traffic logs: a preliminary report., and . WIDM, page 59-66. ACM, (2005)