Jingjing Tang

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This work explores facile synthesis of heterogeneous Si/MoSi2 nanocomposites via a one-step magnesiothermic reduction. MoSi2 serves as a highly electrically conductive nanoparticle that has several advantages of electrochemical properties, which is formed through the absorption of local heat accumulation generated by magnesiothermic reduction. As a result,(More)
As a kind of popular problem in machine learning, multi-instance task has been researched by means of many classical methods, such as kNN, SVM, etc. For kNN classification, its performance on traditional task can be boosted by metric learning, which seeks for a data-dependent metric to make similar examples closer and separate dissimilar examples by a(More)
Recently, document similarity detection technology captures a host of researchers' attention. In this paper, we propose to integrate linear SVM with f-fractional bit minwise hashing to make a wide range of choices for accuracy and storage space requirements. According to the derived properties of f-fractional bit minwise hashing, we obtained the optimal(More)
Multi-view learning concentrates on multiple distinct feature sets mainly following either the consensus principle or the complementary principle. SVM-2K, as a typical SVM-based multi-view learning model, extends SVM for multi-view learning by combining Kernel Canonical Correlation Analysis (KCCA). However, SVM-2K cannot fully unleash the power of the(More)
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