Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
— The goal of this paper is to present an overview of robust estimation techniques with a special focus on robotic vision applications. In this particular context, constraints du...
A ubiquitous computing system derives its operations from the collective interactions of its constituent components. Consequently, a robust ubiquitous system entails that the discr...
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
This paper studies joint security and robustness enhancement of quantization based data embedding for multimedia authentication applications. We present analysis showing that thro...