To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
We present the first interdisciplinary work on transforming a popular problem in proteomics, i.e. protein identification from tandem mass spectra, to an Information Retrieval (IR)...
— In this paper we present a method for determining body orientation and pose information from laser scanner data using particle filtering with an adaptive modeling algorithm. A...
Dylan F. Glas, Takahiro Miyashita, Hiroshi Ishigur...
We present a versatile, fast and simple framework to generate animations of scanned human characters from input optical motion capture data. Our method is purely meshbased and req...
Edilson de Aguiar, Rhaleb Zayer, Christian Theobal...