Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.

M. Ji, Y. Feng, J. Xiao, Y. Zhuang, X. Yang, and J. Zhang. Neurocomputing, (2015)

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.

Ye Feng University of Stuttgart

Qi Feng

Qi Feng University of Stuttgart

Other publications of authors with the same name

Human motion retrieval based on freehand sketch.Z. Tang, J. Xiao, Y. Feng, X. Yang, and J. Zhang. Journal of Visualization and Computer Animation, 25 (3-4): 273-281 (2014)A 3D human motion refinement method based on sparse motion bases selection.Z. Wang, Y. Feng, S. Liu, J. Xiao, X. Yang, and J. Zhang. CASA, page 53-60. ACM, (2016)Predicting missing markers in human motion capture using l1-sparse representation.J. Xiao, Y. Feng, and W. Hu. Journal of Visualization and Computer Animation, 22 (2-3): 221-228 (2011)A locally weighted sparse graph regularized Non-Negative Matrix Factorization method.Y. Feng, J. Xiao, K. Zhou, and Y. Zhuang. Neurocomputing, (2015)Sparse motion bases selection for human motion denoising.J. Xiao, Y. Feng, M. Ji, X. Yang, J. Zhang, and Y. Zhuang. Signal Processing, (2015)Real-time motion data annotation via action string.Q. Tian, J. Xiao, Y. Zhuang, H. Zhang, X. Yang, J. Zhang, and Y. Feng. Journal of Visualization and Computer Animation, 25 (3-4): 293-302 (2014)A semantic feature for human motion retrieval.Q. Tian, Y. Feng, J. Xiao, Y. Zhuang, X. Yang, and J. Zhang. Journal of Visualization and Computer Animation, 24 (3-4): 399-407 (2013)Fast view-based 3D model retrieval via unsupervised multiple feature fusion and online projection learning.J. Xiao, Y. Feng, M. Ji, and Y. Zhuang. Signal Processing, (2016)Active learning for social image retrieval using Locally Regressive Optimal Design.Y. Feng, J. Xiao, Z. Zha, H. Zhang, and Y. Yang. Neurocomputing, (2012)Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.M. Ji, Y. Feng, J. Xiao, Y. Zhuang, X. Yang, and J. Zhang. Neurocomputing, (2015)

PUMA

Disambiguation of "Feng, Yinfu"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.

Please choose a person to relate this publication to

Ye Feng University of Stuttgart

Qi Feng

Qi Feng University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Feng, Yinfu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.

Please choose a person to relate this publication to

Ye Feng University of Stuttgart

Qi Feng

Qi Feng University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.