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Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning.

L. Yuan, Q. Huang, J. Liu, и X. Tang. IScIDE, том 7751 из Lecture Notes in Computer Science, стр. 40-47. Springer, (2012)

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Salient Instance Selection for Multiple-Instance Learning.L. Yuan, S. Liu, Q. Huang, J. Liu, и X. Tang. ICONIP (3), том 7665 из Lecture Notes in Computer Science, стр. 58-67. Springer, (2012)A Novel Inductive Semi-supervised SVM with Graph-Based Self-training.S. Cheng, Q. Huang, J. Liu, и X. Tang. IScIDE, том 7751 из Lecture Notes in Computer Science, стр. 82-89. Springer, (2012)Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning.L. Yuan, Q. Huang, J. Liu, и X. Tang. IScIDE, том 7751 из Lecture Notes in Computer Science, стр. 40-47. Springer, (2012)RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images.D. Gao, R. Wu, J. Liu, Q. Huang, X. Tang, и P. Liu. ICONIP (6), том 10639 из Lecture Notes in Computer Science, стр. 642-651. Springer, (2017)Autonomous Object Segmentation in Cluttered Environment Through Interactive Perception.R. Wu, D. Zhao, J. Liu, X. Tang, и Q. Huang. IScIDE, том 10559 из Lecture Notes in Computer Science, стр. 346-355. Springer, (2017)