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Zixin Feng, Teligeng Yun, Yu Zhou, Ruirui Zheng and Jianjun He
Geometric mean metric learning (GMML) algorithm is a novel metric learning approach proposed recently. It has many advantages such as unconstrained convex objective function, closed form solution, faster computational speed, and interpretability over oth...
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Daniel Mieritz, Runli Liang, Haojie Zhang, Anne-Marie Carey, Shaojiang Chen, Alex Volosin, Su Lin, Neal Woodbury and Dong-Kyun Seo
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J.E. Gilley, J.R. Vogel, R.A. Eigenberg, D.B. Marx, and B.L. Woodbury
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J. E. Gilley, J. R. Vogel, R. A. Eigenberg, D. B. Marx, B. L. Woodbury
Pág. 435 - 440
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M. J. Spiehs, B. L. Woodbury, B. E. Doran, R. A. Eigenberg, K. D. Kohl, V. H. Varel, E. D. Berry, J. E. Wells
Pág. 663 - 673
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J. E. Gilley, L. M. Durso, R. A. Eigenberg, D. B. Marx, B. L. Woodbury
Pág. 847 - 855
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J. R. Vogel, J. E. Gilley, G. L. Cottrell, B. L. Woodbury, E. D. Berry, R. A. Eigenberg
Pág. 1269 - 1279
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J. E. Gilley, J. R. Vogel, R. A. Eigenberg, D. B. Marx, B. L. Woodbury
Pág. 545 - 552
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J. E. Gilley, J. R. Vogel, E. D. Berry, R. A. Eigenberg, D. B. Marx, B. L. Woodbury
Pág. 2077 - 2085
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J. E. Gilley, E. D. Berry, R. A. Eigenberg, D. B. Marx, B. L. Woodbury
Pág. 675 - 684
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