Standout Papers

Core Vector Machines: Fast SVM Training on Very Large Data Sets 2005 2026 2012 2019 506
  1. Core Vector Machines: Fast SVM Training on Very Large Data Sets (2005)
    Ivor W. Tsang, James T. Kwok et al. Journal of Machine Learning Research

Immediate Impact

67 standout
Sub-graph 1 of 23

Citing Papers

A Comprehensive Survey of Continual Learning: Theory, Method and Application
2024 Standout
Large Scale Visual Food Recognition
2023 Standout
2 intermediate papers

Works of Pak-Ming Cheung being referenced

Kernel relevant component analysis for distance metric learning
2006
Core Vector Machines: Fast SVM Training on Very Large Data Sets
2005 Standout

Author Peers

Author Last Decade Papers Cites
Pak-Ming Cheung 336 398 34 66 5 624
Salah Rifai 322 381 21 54 6 674
Xavier Muller 319 373 19 54 4 665
Ayhan Demiriz 300 457 36 44 16 723
Jérôme Louradour 203 255 35 39 8 612
D.W. Ruck 161 371 46 74 11 612
Xiaolong Teng 289 335 52 49 4 703
Dit-Yan Yeung 323 390 17 78 11 670
Mingrui Wu 320 304 15 47 15 515
David R. Musicant 270 318 20 109 13 577
Yizhang Jiang 163 409 28 50 13 550

All Works

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Rankless by CCL
2026