Linear discriminant analysis (LDA) is a traditional statistical technique that reduces
dimensionality while preserving as much of the class discriminatory information as possible …

In this paper a recursive algorithm of calculating the discriminant features of the PCA-LDA
procedure is introduced. This algorithm computes the principal components of a sequence …

This paper presents an accelerated AdaBoost face detection algorithm and an incremental
PCA-based face recognition algorithm for human robot interactive applications. The …

Online learning has attracted great attention due to the increasing demand for systems that
have the ability of learning and evolving. When the data to be processed is also high …

This dissertation presents various vision-based algorithms for human-robot interactive
applications, such as sociable robots. Our vision-based methodologies include accelerated …

Advances in data collection and storage capabilities during the past decades have led to
information overload in most sciences and ushered in a big data era. Data of big volume, as …