There is an upsurging interest in designing succinct data structures for basic searching problems (see [23] and references therein). The motivation has to be found in the exponent...
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...
Multimodal interfaces combining natural modalities such as speech and touch with dynamic graphical user interfaces can make it easier and more effective for users to interact wit...
Voltage scheduling is indispensable for exploiting the benefit of variable voltage processors. Though extensive research has been done in this area, current processor limitations...