This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
We describe a programming framework for high performance clusters with various hardware accelerators. In this framework, users can utilize the available heterogeneous resources pr...
Kuen Hung Tsoi, Anson H. T. Tse, Peter Pietzuch, W...
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Exotic options are financial derivatives which have complex features including path-dependency. These complex features make them difficult to price, as only computationally intensi...
Anson H. T. Tse, David B. Thomas, Kuen Hung Tsoi, ...