Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
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...
Abstract— The study of synchronization of population dynamics is extremely important for predicting and evaluating the risk of global extinctions. The migration in a network of p...
The development of spatiotemporal database systems is primarily motivated by applications tracking and presenting mobile objects. Another important trend is the visualization and p...
Wireless sensor networks have created new opportunities for data collection in a variety of scenarios, such as environmental and industrial, where we expect data to be temporally ...