Scalable shape encoding is an important requirement of highly scalable object-based video coding. In this paper, a new scalable vertex-based shape coding scheme is proposed that u...
Mingyou Hu, Abdul H. Sadka, Stewart Worrall, Ahmet...
Location information in Mobile Ad Hoc Networks (MANETs) provides efficiency to uni-cast and multi-cast algorithms. This paper proposes a new location update algorithm called PLU. T...
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...
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...