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51#
發(fā)表于 2025-3-30 09:35:01 | 只看該作者
52#
發(fā)表于 2025-3-30 15:08:41 | 只看該作者
Graph-Based Registration of Partial Images of City Maps Using Geometric Hashingthod to avoid the need of special maps. It creates a graph representation of a given input image and robustly finds an optimal registration using a geometric hashing technique. Our approach is translation, scale and rotation invariant, map type independent and robust against noise and missing data.
53#
發(fā)表于 2025-3-30 20:17:20 | 只看該作者
Graph Matching Based on Node Signaturestern recognition applications. Compared with four well-known methods, our algorithm gives good results for clustering and retrieving images. A sensitivity analysis reveals that the proposed method is also insensitive to weak structural changes.
54#
發(fā)表于 2025-3-30 22:34:00 | 只看該作者
55#
發(fā)表于 2025-3-31 03:12:03 | 只看該作者
56#
發(fā)表于 2025-3-31 06:15:08 | 只看該作者
A Graph Based Data Model for Graphics Interpretationiscussed as well. An earlier version of the DG model has been applied for interpretation of Hungarian cadastral maps. Although this paper gives examples of map interpretation, our concept can be extended to other fields of graphics recognition.
57#
發(fā)表于 2025-3-31 10:06:42 | 只看該作者
58#
發(fā)表于 2025-3-31 15:28:31 | 只看該作者
A Recursive Embedding Approach to Median Graph Computationategies. In this paper we present a new approximate recursive algorithm for median graph computation based on graph embedding into vector spaces. Preliminary experiments on three databases show that this new approach is able to obtain better medians than the previous existing approaches.
59#
發(fā)表于 2025-3-31 20:09:49 | 只看該作者
60#
發(fā)表于 2025-3-31 22:04:37 | 只看該作者
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