Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
This paper surveys the most recent published techniques in the field of Simultaneous Localization and Mapping (SLAM). In particular it is focused on the existing techniques availab...
Josep Aulinas, Yvan R. Petillot, Joaquim Salvi, Xa...
Petri net schemata are an intuitive and expressive approach to describe high-level Petri nets. A Petri net schema is a Petri net with edges and transitions inscribed by terms and B...
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...