We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Accurate estimation of the tick length of a synchronous program is essential for efficient and predictable implementations that are devoid of timing faults. The techniques to dete...
Partha S. Roop, Sidharta Andalam, Reinhard von Han...
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Haptic Collaboration Virtual Environment (HCVE) is an enhanced virtual reality space that supports sense of touch, which is called “haptic”. In HCVE, remote users connected ov...
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...