An important demand in Model-Driven Development is the simple and efficient expression of model patterns. Current approaches tend to distinguish the language they use to express pa...
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
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, ...
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Open hypermedia systems provide a decoupled approach to structural computing. This entails that the architecture of the systems are made up of user agents that communicate with di...