Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Presently, Architecture Description Languages (ADLs) are widely used to raise the abstraction level of the design space exploration of Application Specific Instruction-set Proces...
Ernst Martin Witte, Anupam Chattopadhyay, Oliver S...
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
—The availability of optical network infrastructure and appropriate user control software has recently made it possible for scientists to establish end-to-end circuits across mul...
We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Mot...
Constantinos Marios Angelopoulos, Sotiris E. Nikol...