We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Operators and researchers want accurate router-level views of the Internet for purposes including troubleshooting and modeling. However, tools such as traceroute return IP address...
Justine Sherry, Ethan Katz-Bassett, Mary Pimenova,...
In cognitive radio networks (CRN), primary users can lease out their unused bandwidth to secondary users in return for a fee. We study price competition in a CRN with multiple pri...
Deterministic Finite Automaton (DFA) is well-known for its constant matching speed in worst case, and widely used in multistring matching, which is a critical technique in high pe...
Junchen Jiang, Yi Tang, Bin Liu, Xiaofei Wang, Yan...