In this paper we present a method for FPGA datapath precision optimization subject to user-defined area and error constraints. This work builds upon our previous research [1] which...
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Constraint satisfaction technology emerged from AI research. Its practical success is based on integration of sophisticated search with consistency techniques reducing the search ...
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...