Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
In this paper we address the problem of efficient power allocation in the uplink of CDMA wireless networks, emphasizing on the support of realtime services’ QoS prerequisites. Th...
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
The problem of answering queries using views is to find efficient methods of answering a query using a set of previously materialized views over the database, rather than accessin...