Eficient indezing of high dimensional feature vectors is important to allow visual information systems and a number other applications to scale up to large databases. In this pape...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
We introduce the first process algebra with non-blocking reading actions for modelling concurrent asynchronous systems. We study the impact this new kind of actions has on fairnes...
Flavio Corradini, Maria Rita Di Berardini, Walter ...
Services change over time, be it for internal improvements, be it for external requirements such as new legal regulations. For long running services, it may even be necessary to ch...
Nannette Liske, Niels Lohmann, Christian Stahl, Ka...