Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Abstract-- We consider a wireless sensor network consisting of a set of sensors deployed randomly. A point in the monitored area is covered if it is within the sensing range of a s...
Shuhui Yang, Fei Dai, Mihaela Cardei, Jie Wu, Floy...
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
We study G/G/n + GI queues in which customer patience times are independent, identically distributed following a general distribution. When a customer’s waiting time in queue ex...