Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Abstract: Collaborative learning systems can be constructed following the serviceoriented computing paradigm. This allows educators to integrate external tools, offered as services...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...