Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
In this paper, we study the unrelated parallel machine problem for minimizing the makespan, which is NP-hard. We used Simulated Annealing (SA) and Tabu Search (TS) with Neighborho...
Yunsong Guo, Andrew Lim, Brian Rodrigues, Liang Ya...
In this paper, an efficient edge-based approach, including implementation of a hardware system, for locating car license plate area from images taken under relatively complex cond...
—Dictionary-Based String Matching (DBSM) is used in network Deep Packet Inspection (DPI) applications virus scanning [1] and network intrusion detection [2]. We propose the Pipel...
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...