In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
As storage systems grow larger and more complex, the traditional block-based design of current disks can no longer satisfy workloads that are increasingly metadata intensive. A ne...
Ananth Devulapalli, Dennis Dalessandro, Pete Wycko...
Interest in accessing the Web from small, mobile devices, such as cell phones, is increasing rapidly. The challenge of delivering content to such devices is similar in many ways t...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
In this work we propose a QoS architecture for MANETs based on a probe-based distributed admission control mechanism and the IEEE 802.11e technology. Our aim is to improve peer-to...
Carlos Miguel Tavares Calafate, Juan-Carlos Cano, ...