Real-time recognition may be limited by scarce memory and computing resources for performing classification. Although, prior research has addressed the problem of training classif...
Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvi...
Achieving computer vision on micro-scale devices is a challenge. On these platforms, the power and mass constraints are severe enough for even the most common computations (matrix...
Abstract--We consider the problem of linear zero-forcing precoding design and discuss its relation to the theory of generalized inverses in linear algebra. Special attention is giv...
As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of comput...
In embedded cryptosystems, sensitive information can leak via timing, power, and electromagnetic channels. We introduce a novel power-smart system-on-chip architecture that provid...
Radu Muresan, Haleh Vahedi, Y. Zhanrong, Stefano G...