In this paper we advocate the use of pre-decoding for CAM-based pattern matching. We implement an FPGA based sub-system for NIDS (Snort) pattern matching using a combination of te...
This paper reports a statistical identification technique that differentiates scripts and languages in degraded and distorted document images. We identify scripts and languages th...
We synthesize natural-looking locomotion, reaching and grasping for a virtual character in order to accomplish a wide range of movement and manipulation tasks in real time. Our vi...
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Many NLP applications need fundamental tools to convert the input text into appropriate form or format and extract the primary linguistic knowledge of words and sentences. These t...