( en | de | ru )

 

Disambiguation of "Gong, Yihong"

Author of the publication

copydeleteadd this publication to your clipboard
Combining content and link for classification using matrix factorization.

, , , and . SIGIR, page 487-494. ACM, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yihong Wang

Yihong Wang

Yihong Hu

Yihong Zhong

Weihua Gong

 

Other publications of authors with the same name

Document clustering based on non-negative matrix factorization, , and . SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28 - August 1, 2003, Toronto, Canada, page 267--273. ACM, (2003)Part-aware trajectories association across non-overlapping uncalibrated cameras., , , , and . Neurocomputing, (2017)Discriminative Feature Learning with Foreground Attention for Person Re-Identification., , , , , and . CoRR, (2018)Lessons Learned from Building a Terabyte Digital Video Library., , , and . Computer, 32 (2): 66-73 (1999)Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification., , , , , and . CoRR, (2017)Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification., , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (7): 2896-2908 (2018)A Biologically Inspired Deep CNN Model., , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 540-549. Springer, (2016)Topology-Preserving Class-Incremental Learning., , , , and . ECCV (19), volume 12364 of Lecture Notes in Computer Science, page 254-270. Springer, (2020)Comparative document summarization via discriminative sentence selection., , , and . ACM Trans. Knowl. Discov. Data, 6 (3): 12:1-12:18 (2012)Mining driving safety pattern using semi-supervised learning on time series data.. ICME, page 1520-1523. IEEE, (2009)