Your selections:
Efficient nonlinear classification via low-rank regularised least squares
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Feature-subspace aggregating: ensembles for stable and unstable learners
- Ting, Kaiming, Wells, Jonathan, Tan, Swee, Teng, Shyh, Webb, Geoffrey
- Ting, Kaiming, Zhou, Guang, Liu, Fei, Tan, Swee
Local models - the key to boosting stable learners successfully
- Ting, Kaiming, Zhu, Lian, Wells, Jonathan
Defying the gravity of learning curve : A characteristic of nearest neighbour anomaly detectors
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Aryal, Sunil
ZERO++ : Harnessing the power of zero appearances to detect anomalies in large-scale data sets
- Pang, Guansong, Ting, Kaiming, Albrecht, David, Jin, Huidong
Half-space mass : a maximally robust and efficient data depth method
- Chen, Bo, Ting, Kaiming, Washio, Takashi, Haffari, Gholamreza
Local contrast as an effective means to robust clustering against varying densities
- Chen, Bo, Ting, Kaiming, Washio, Takashi, Zhu, Ye
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