The need for high-frequency signal acquisition and processing is becoming increasingly prevalent in sensor networks. Applications that require high-frequency data sampling are pre...
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and effi...
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Alla...
We propose a novel type of decomposition for polygonal shapes. It is thought that, for the task of object recognition, the human visual system uses a part-based representation. De...