Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
We present SQUIRREL, a stream-oriented programming framework for storage-centric sensor networks. The storagecentric paradigm—where storage operations prevail over communication...
MPEG-4 Advanced Simple Profile video provides I, P, and B –type frames in each GOP (Group Of Pictures). To maximize the coding efficiency, it is important to determine the distr...
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...