A new approach is proposed to translate existing software programs from one instruction set to other instruction sets at the level. The behaviors of instructions are abstractly re...
An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
Sharing Intellectual Property (IP) blocks in today's competitive market poses significant high security risks. In this paper, we present a tutorial for a watermarking approach...
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...