We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
Computer system sizing involves estimating the amount of hardware resources needed to support a new workload not yet deployed in a production environment. In order to determine th...
Ted J. Wasserman, Patrick Martin, David B. Skillic...
Wireless ad hoc networks of sensor nodes are envisioned to be deployed in the physical environment to monitor a wide variety of real-world phenomena. Almost any sensor network appl...
We study peer-to-peer service networks consisting of autonomous agents who seek and provide services. To fulfill its local needs, an agent attempts to discover and select informa...