We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...
Learning Content Management Systems (LCMS) supports e-learning applications with storage and efficient access for e-learning objects (LO)s. ROSA is a LCMS built as a semantic laye...
Fabio Porto, Ana Maria de Carvalho Moura, Adriana ...
Automatic recognition of animal vocalisations would be a valuable tool for a variety of biological research and environmental monitoring applications . We report the development o...
Andrew Taylor, Graeme Watson, Gordon Grigg, Hamish...