Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Abstract-- Particle simulation has become an important research tool in many scientific and engineering fields. Data generated by such simulations impose great challenges to databa...
Wireless mesh systems offer several advantages for emerging high-bandwidth networks because of their cooperative routing capabilities. In this study, we consider the potential ben...
Ali C. Begen, Yucel Altunbasak, M. Reha Civanlar, ...
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...