In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
Loop pipelining is a critical transformation in behavioral synthesis. It is crucial to producing hardware designs with acceptable latency and throughput. However, it is a complex ...
In this paper, we propose a new scheduling algorithm for the overlapped message passing decoding, which can be applied to general low-density parity check (LDPC) codes. The partia...
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...