檢索結果 - Liu, Meizhu

RBOOST: RIEMANNIAN DISTANCE BASED REGULARIZED BOOSTING 由 Liu, Meizhu, Vemuri, Baba C.

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A Robust and Efficient Doubly Regularized Metric Learning Approach 由 Liu, Meizhu, Vemuri, Baba C.

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Robust and Efficient Regularized Boosting Using Total Bregman Divergence 由 Liu, Meizhu, Vemuri, Baba C.

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UNSUPERVISED AUTOMATIC WHITE MATTER FIBER CLUSTERING USING A GAUSSIAN MIXTURE MODEL 由 Liu, Meizhu, Vemuri, Baba C., Deriche, Rachid

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A Robust Variational Approach for Simultaneous Smoothing and Estimation of DTI 由 Liu, Meizhu, Vemuri, Baba C., Deriche, Rachid

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Total Bregman Divergence and Its Applications to DTI Analysis 由 Vemuri, Baba C., Liu, Meizhu, Amari, Shun-Ichi, Nielsen, Frank

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Shape Retrieval Using Hierarchical Total Bregman Soft Clustering 由 Liu, Meizhu, Vemuri, Baba C., Amari, Shun-ichi, Nielsen, Frank

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Total Bregman Divergence and its Applications to Shape Retrieval() 由 Liu, Meizhu, Vemuri, Baba C., Amari, Shun-Ichi, Nielsen, Frank

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Application of the Chinese version of the addiction profile index (API) in drug users: an analysis of validity and measurement invariance across genders 由 Gao, Huiyuan, Liu, Meizhu, Luo, Xu, Zhang, Jun, Cai, Taisheng

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Application of the Chinese Version of the BIS/BAS Scales in Participants With a Substance Use Disorder: An Analysis of Psychometric Properties and Comparison With Community Residen... 由 Che, Qingqing, Yang, Peiwen, Gao, Huiyuan, Liu, Meizhu, Zhang, Jun, Cai, Taisheng

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