Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
The increasing integration of education and technology has led to the development of a range of note-taking applications. Our project's goal is to provide empirical data to g...
This paper discusses the design of a physical and digital system intended to allow for easy manipulation and interaction with the tremendous amount of options present in advanced ...