We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Abstract. A progressive curve representation based on reverse subdivision is introduced. This consists of three main components. First, multi-resolution structures for some common ...
Faramarz F. Samavati, Mai Ali Nur, Richard M. Bart...
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...