We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
In this paper, an ontology infrastucture for multimedia reasoning is presented, making it possible to combine low-level visual descriptors with domain specific knowledge and subs...
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
In this paper, we present the concept of a diversified SCM (supply chain management) standard and distributed hub architecture which were used in B2B experiments for the Japanese ...