This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
We present new methods to extend data reliability of disks in RAID systems for applications like long term data archival. The proposed solutions extend existing algorithms to detec...
As technology scales and the energy of computation continually approaches thermal equilibrium [1,2], parameter variations and noise levels will lead to larger error rates at vario...
Providing continuous video playback with graceful quality degradation over wireless channels is fraught with challenges. Video applications require stringent delay guarantees and ...
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...