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41#
發(fā)表于 2025-3-28 14:54:14 | 只看該作者
42#
發(fā)表于 2025-3-28 20:16:06 | 只看該作者
https://doi.org/10.1007/978-3-319-20322-5omparing quantitative values of the endpoints of the rectangle. Such a representation expresses a property that is basic for the “interval” asa conjunction of relations for the “point”. In this work, we adopt a qualitative interval projection model to describe the relative positions of such blocks u
43#
發(fā)表于 2025-3-28 23:37:53 | 只看該作者
44#
發(fā)表于 2025-3-29 03:11:39 | 只看該作者
45#
發(fā)表于 2025-3-29 10:05:55 | 只看該作者
Sebastian F. Schoppmann,Martin Rieglerrning, or synthesis, of representative graphical symbols from given examples. Graphical symbols are represented by graphs. This way the learning task is transformed into that of computing the generalized median of a given set of graphs, which is a novel graph matching problem and solved by a genetic
46#
發(fā)表于 2025-3-29 12:17:07 | 只看該作者
47#
發(fā)表于 2025-3-29 18:50:24 | 只看該作者
https://doi.org/10.1007/978-94-017-7755-1erized by a strong reliability without loosing good properties in generalization. We show on a musical scores recognition system that this classifier is very well suited to develop a complete document recognition system. Indeed this classifier allows them firstly to extract known symbols in a docume
48#
發(fā)表于 2025-3-29 23:00:26 | 只看該作者
49#
發(fā)表于 2025-3-30 02:35:36 | 只看該作者
https://doi.org/10.1007/978-3-319-04385-2r describes the context of this study. Next, the tools and methods needed for the automatic interpretation are defined. Our system includes a first phase of global perception of the document followed by a phase of incremental extraction of the sentation of the drawing and provides a precise descript
50#
發(fā)表于 2025-3-30 04:40:47 | 只看該作者
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