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Feedback Computing is a unique forum built around advancing feedback system theory and practice in modeling, analyzing, designing, and optimizing computing systems with respect to performance, predict...
Existing fixed-length feedback communication schemes are either specialized to particular channels (Schalkwijk–Kailath, Horstein), or apply to general channels but either have high coding complexity (...
This study investigates the feasibility of deploying wireless communication and embedded computing for structural control applications. A feedback structural control system involves a network of senso...
To facilitate interaction and collaboration around ultra-high-resolution, Wall-Size Displays (WSD), post-WIMP interaction modes like touchless and multi-touch have opened up new, unprecedented opportu...
Touchless interactions synthesize input and output from physically disconnected motor and display spaces without any haptic feedback. In the absence of any haptic feedback, touchless interactions prim...
As the number of manually acquired rules in a patent translation system increases, conflicts between rules inevitably exist. Meanwhile, lacking the matched cases of manually acquired rules in real bil...
The aim of this paper is to develop a new approach for a solution of the continuous-time model matching problem by a static state feedback in the sense of \mathcal{H}\infty optimality criterion by usi...
Most of existing work on sports video analysis concentrates on highlight extraction. Few efforts devoted to the important issue as how to organize the extracted highlights which is adapt for the...
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...

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