ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Abstract. In this paper, a novel architecture dedicated to image processing is presented. The most original aspect of the approach is the use of a System On Chip implemented in a F...
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
–Large scale clustered continuous media (CM) servers deployed in applications like video-on-demand have high availability requirements. In the event of server failure, streams fr...
Rajesh Krishnan, Dinesh Venkatesh, Thomas D. C. Li...