This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
Emerging embedded system applications in multimedia and image processing are characterized by complex control flow consisting of deeply nested conditionals and loops. We present a...
Sumit Gupta, Nikil Dutt, Rajesh Gupta, Alexandru N...
A methodology for complexity scalable video encoding and complexity control within the framework of the H.264/AVC video encoder is presented. To yield good rate-distortion perform...
Abstract: Nowadays for any kind of distributed and multi-level, i.e. complex information systems it is vitally important to represent its data resources in a homogenized form. This...
Dmytry V. Kuklenko, Rustam Gamzayev, V. Goloborodk...
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
Daniel S. Bernstein, Shlomo Zilberstein, Neil Imme...