Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
— One major problem in pipeline synthesis is the detection and resolution of pipeline hazards. In this paper we present a new solution to the problem in the domain of pipelined a...
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...