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...
Rate shaping plays an important role in transmitting compressed video on a network with dynamic bandwidth. In this paper, we present a scheme for rate shaping JPEG/MPEG-precompres...
—This paper describes a waveform compression technique suitable for the efficient utilization, storage and interchange of the emerging current source model (CSM) based cell libra...
Safar Hatami, Peter Feldmann, Soroush Abbaspour, M...
We present a new method for rendering novel images of flexible 3D objects from a small number of example images in correspondence. The strength of the method is the ability to sy...
With the wide spread growth of mobile computing devices and local area wireless networks, wireless network providers have started to target the users with value-added services bas...