Most state of the art approaches for machine transliteration are data driven and require significant parallel names corpora between languages. As a result, developing transliterat...
Mitesh M. Khapra, A. Kumaran, Pushpak Bhattacharyy...
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
This paper discusses a real time stimulus timing detection for a Brain-Machine-Interface (BMI). We present a low complexity detector for detecting the stimulus onset time from rea...
Majd Zreik, Ytai Ben-Tsvi, Aryeh Taub, Rakefet Ofe...
This paper proposes an adaptive multi-bit error correcting code for phase change memories that provides a manifold increase in the lifetime of phase change memories thereby making...