We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Exploration of information content of features that are present in images has led to the development of several reconstruction algorithms. These algorithms aim for a reconstruction...
Bart Janssen, Frans Kanters, Remco Duits, Luc Flor...
Methodologies for multiagent system development should assist the developer in making decisions about those aspects of the analysis, design and implementation, that are crucial fo...
Mehdi Dastani, Joris Hulstijn, Frank Dignum, John-...
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to focus the attention to a set of regions of interest. Indoor enviro...