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...
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Goal models are effective in capturing stakeholder needs at the time when features of the system-to-be have not yet been conceptualized. Relating goals to solution-oriented featur...
Yijun Yu, Julio Cesar Sampaio do Prado Leite, Alex...
This paper proposes the use of feature tracks for the detection of concepts in video, particularly dynamic concepts. Feature tracks are defined as sets of local interest points fo...
Vasileios Mezaris, Anastasios Dimou, Ioannis Kompa...
Role-based Access Control (RBAC) models have been implemented not only in self-contained resource management products such as DBMSs and Operating Systems but also in a class of pr...
David F. Ferraiolo, Ramaswamy Chandramouli, Gail-J...