Linear programming (LP) in its many forms has proven to be an indispensable tool for expressing and solving optimization problems in numerous domains. We propose the first set of ...
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Hardware accelerators are common in embedded systems that have high performance requirements but must still operate within stringent energy constraints. To facilitate short time-t...
Ganesh S. Dasika, Shidhartha Das, Kevin Fan, Scott...
Just-in-time (JIT) compilation has previously been used in many applications to enable standard software binaries to execute on different underlying processor architectures. Howev...
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework pr...