Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Abstract. At the second workshop on feature interactions, we proposed a statebased model for specifying features and proposed reachability-analysis algorithms for detecting various...
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design...
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...