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 ...
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Abstract. Replication systems require a state-transfer mechanism in order to recover crashed replicas and to integrate new ones into replication groups. This paper presents and eva...
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Abstract: To enable efficient access to multimedia content, the media data has to be augmented by semantic metadata and functionality. The semantic representation has to be integra...