41 citations
4 papers
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
Yi-Jun Cao, Chuan Lin, Yong-Jie Li
Significant progress has been made in boundary detection with the help of convolutional neural networks. Recent boundary detection models not only focus on real object boundary det…
The Longest -paths of -shaped Supergrid Graphs
Ruo-Wei Hung, Fatemeh Keshavarz-Kohjerdi
In this paper, we continue the study of the Hamiltonian and longest -paths of supergrid graphs. The Hamiltonian -path of a graph is a Hamiltonian path between any t…
The Hamiltonicity, Hamiltonian Connectivity, and Longest (s, t)-path of L-shaped Supergrid Graphs
Fatemeh Keshavarz-Kohjerdi, Ruo-Wei Hung
Supergrid graphs contain grid graphs and triangular grid graphs as their subgraphs. The Hamiltonian cycle and path problems for general supergrid graphs were known to be NP-complet…
Using Rough Set and Support Vector Machine for Network Intrusion Detection
Rung-Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a n…