This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
In an investigation into the transformation of mossy ber input to Purkinje cell output in the cerebellar cortex, we have developed a network model including a sophisticated compar...
F. W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Mae...
Emerging large scale distributed networking systems, such as P2P file sharing systems, sensor networks, and ad hoc wireless networks, require replication of content, functionalit...
Many applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. The key co...