We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Abstract We address the problem of indexing broadcast audiovisual documents (such as films, news). Starting from a collection of so-called shots, we aim at building automatically h...