MassBayes: a new generative classifier with multi-dimensional likelihood estimation
Optimizing cepstral features for audio classification
- 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
A comparative study of practical stochastic clustering method with traditional methods
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Learning naive Bayes classifiers for music classification and retrieval
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Mass estimation and its applications
- Ting, Kaiming, Zhou, Guangtong, Liu, Fei, Chuan, J. T. S.
Multi-dimensional mass estimation and mass-based clustering
- Ting, Kaiming, Wells, Jonathan
Relevance feature mapping for content-based image retrieval
- Zhou, Guang, Ting, Kaiming, Liu, Fei, Yin, Yilong
Boosting support vector machines successfully
FaSS : Ensembles for stable learners
- Ting, Kaiming, Wells, Jonathan, Tan, Swee, Teng, Shyh, Webb, Geoffrey
- Liu, Fei, Ting, Kaiming, Zhou, Zhi-Hua
Issues of grid-cluster retrievals in swarm-based clustering
- Tan, Swee, Ting, Kaiming, Teng, Shyh
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