Speaker diarization is the task of partitioning an input stream into speaker homogeneous regions, or in other words, to determine "who spoke when." While approaches to t...
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
—We demonstrate DPCube, a component in our Health Information DE-identification (HIDE) framework, for releasing differentially private data cubes (or multi-dimensional histogram...
— Energy efficiency has become one of the most important issues to be addressed in today’s System-on-a-Chip (SoC) designs. One way to lower the power consumption is to reduce ...
Given that commercial search engines cover billions of web pages, efficiently managing the corresponding volumes of disk-resident data needed to answer user queries quickly is a f...