Your selections:
MassBayes: a new generative classifier with multi-dimensional likelihood estimation
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
Efficient anomaly detection by isolation using Nearest Neighbour Ensemble
- Bandaragoda, Tharindu, Ting, Kaiming, Albrecht, David, Liu, Fei, Wells, Jonathan
Neighbourhood contrast : A better means to detect clusters than density
On low-rank regularized least squares for scalable nonlinear classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Learning naive Bayes classifiers for music classification and retrieval
- 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
Optimizing cepstral features for audio classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Learning sparse kernel classifiers in the primal
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
- Liu, Fei, Ting, Kaiming, Zhou, Zhi-Hua
On detecting clustered anomalies using SCiForest
- Liu, Fei, Ting, Kaiming, Zhou, Zhi-Hua
LeSiNN : Detecting anomalies by identifying least similar nearest neighbours
- Pang, Guansong, Ting, Kaiming, Albrecht, David
Fast anomaly detection for streaming data
- Tan, Swee, Ting, Kaiming, Liu, Fei
Issues of grid-cluster retrievals in swarm-based clustering
- Tan, Swee, Ting, Kaiming, Teng, Shyh
A comparative study of practical stochastic clustering method with traditional methods
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Clustering gene expression data using ant-based heuristics
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Simplifying and improving ant-based clustering
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Density estimation based on mass
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Liu, Fei
FaSS : Ensembles for stable learners
- Ting, Kaiming, Wells, Jonathan, Tan, Swee, Teng, Shyh, Webb, Geoffrey
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