Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
Searching for multiple string patterns in a stream of data is a computationally expensive task. The speed of the search pattern module determines the overall performance of deep p...
In this paper, we propose more accurate power/ground network circuit model, which consider both via and ground bounce effects to improve the performance estimation accuracy of on-...
Jin Shi, Yici Cai, Sheldon X.-D. Tan, Xianlong Hon...
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...