Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
The parameterized pattern matching problem is a kind of pattern matching problem, where a pattern is considered to occur in a text when there exists a renaming bijection on the alp...
Tomohiro I, Shunsuke Inenaga, Hideo Bannai, Masayu...
Timed Automata (TA) and Time Petri Nets (TPN) are two well-established formal models for real-time systems. Recently, a linear transformation of TA to TPNs preserving reachability...
Abstract. This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view ima...