A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
Abstract. This paper presents a method to decompose a ļ¬eld of surface normals (needle-map). A diļ¬usion process is used to model the ļ¬ow of height information induced by a ļ¬...
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
This contribution proposes a synchronization technique for solvers able to handle analogue extensions to SystemC, for modelling of general, mixed-mode systems with digital and non...
operator abstraction is a language construct relevant to object oriented programming languages and to ML2000, the successor to Standard ML. In this paper, we introduce FĻ ā¤, a ...