In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
The present paper proposes an authentication scheme which relies on face biometrics and one-class Support Vector Machines. The proposed recognition procedures are based on both a ...
Paolo Abeni, Madalina Baltatu, Rosalia D'Alessandr...
The line-based face recognition method is distinguished by its features, but its development and application is limited to some inherent drawbacks. This paper propose a method for...
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...