Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
— We present the unfairness problem between the uplink and the downlink flows in the IEEE 802.11e infrastructure Basic Service Set (BSS) when the default settings of the Enhance...
– Many embedded system designs usually impose (hard) read-time constraints on tasks. Thus, computing a tight upper bound of the worst case execution time (WCET) of a software is ...
In this paper we consider a natural generalization of the well-known Max Leaf
Spanning Tree problem. In the generalized Weighted Max Leaf problem we get as
input an undirected co...