: The activities developed in this paper were aimed at providing an awareness of the elements that should be considered in quality learning objects instructional design for elearni...
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
Abstract. This paper describes an approach to providing object persistence in object-oriented programming languages without modifying the run-time system or the language itself. By...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...