Speculative Multi-Threading (SpMT) can improve single-threaded application performance using the multiple thread contexts available in current processors. We propose a minimal SpM...
Srikanth T. Srinivasan, Haitham Akkary, Tom Holman...
The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expe...
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...