—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
— This paper presents a new cooperative storage system for sensor networks geared for disconnected operation (where sensor nodes do not have a connected path to a basestation). T...
Liqian Luo, Chengdu Huang, Tarek F. Abdelzaher, Ja...
— Recent advances in network coding have shown great potential for efficient information multicasting in communication networks, in terms of both network throughput and network ...
Lijun Chen, Tracey Ho, Steven H. Low, Mung Chiang,...
— One of the primary impediments to building ensembles with many modular robots is the complexity and number of mechanical mechanisms used to construct the individual modules. As...
Brian T. Kirby, Burak Aksak, Jason Campbell, James...
This contribution describes a system and method for tomographically imaging lymph nodes marked with a lymph endothelium targeting fluorescence reporter. A novel scanning NIR lase...
Amit Joshi, Wolfgang Bangerth, Ruchi Sharma, John ...