Your selections:
Isolation set-kernel and its application to multi-instance learning
- Xu, Bi-Cun, Ting, Kaiming, Zhou, Zhi-Hua
Isolation kernel and its effect on SVM
- Ting, Kaiming, Zhu, Yue, Zhou, Zhi-Hua
Neighbourhood contrast : A better means to detect clusters than density
Discover multiple novel labels in multi-instance multi-label learning
- Zhu, Yue, Ting, Kaiming, Zhou, Zhi-Hua
New class adaptation via instance generation in one-pass class incremental learning
- Zhu, Yue, Ting, Kaiming, Zhou, Zhi-Hua
- Ting, Kaiming, Zhu, Ye, Carman, Mark, Zhu, Yue, Zhi-Hua, Zhou
LeSiNN : Detecting anomalies by identifying least similar nearest neighbours
- Pang, Guansong, Ting, Kaiming, Albrecht, David
Efficient anomaly detection by isolation using Nearest Neighbour Ensemble
- Bandaragoda, Tharindu, Ting, Kaiming, Albrecht, David, Liu, Fei, Wells, Jonathan
Improving iForest with relative mass
- Aryal, Sunil, Ting, Kaiming, Wells, Jonathan, Washio, Takashi
Mp-dissimilarity : A data dependent dissimilarity measure
- Aryal, Sunil, Ting, Kaiming, Haffari, Gholamreza, Washio, Takashi
MassBayes: a new generative classifier with multi-dimensional likelihood estimation
Optimizing cepstral features for audio classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
A non-time series approach to vehicle related time series problems
- Wells, Jonathan, Ting, Kaiming, Naiwala, Chandrasiri
Learning sparse kernel classifiers in the primal
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Building sparse support vector machines for multi-instance classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Clustering gene expression data using ant-based heuristics
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Density estimation based on mass
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Liu, Fei
Fast anomaly detection for streaming data
- Tan, Swee, Ting, Kaiming, Liu, Fei
On low-rank regularized least squares for scalable nonlinear classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Simplifying and improving ant-based clustering
- Tan, Swee, Ting, Kaiming, Teng, Shyh
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