In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...
Ilias Kolonias, William J. Christmas, Josef Kittle...
One of the typical features of distributed systems is the heterogeneity of its components (e.g. geographical spreading and different platform architectures), leading to interopera...
Tom Verdickt, Bart Dhoedt, Frank Gielen, Piet Deme...
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...