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图神经网络(Graph Neural Network,GNN)是指使用神经网络来学习图结构数据,提取和发掘图结构数据中的特征和模式,满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据(网络数据)中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此,本次汇报将从一种特殊的谱图神经网络(图卷积神经网络)出发,介绍相应的消息传递范式,揭示传统机器学习和图神经网络的内在关联,并...
Graphs play an important role in many fields of machine learning such as clustering. Many graph-based machine learning approaches assume that the graphs have hidden group structures. However, the grou...
华南理工大学数据结构与算法课件Chapter7 Graph
The automatic extraction of man-made objects from remote sensing imagery is useful in many applications. This paper proposes an algorithm for extracting man-made objects automatically by integrating a...
四川大学数据结构与算法课件 Graph
3D models have been widely used by spread of many available free-software. Additionally, enormous images can be easily acquired, and images are utilized for creating the 3D models recently. The creati...
Image matching lies at the heart of photogrammetry and computer vision. For poor textural images, the matching result is affected by low contrast, repetitive patterns, discontinuity or occlusion, few ...
In this paper, we propose a unified framework for efficiently completing streetview and indoor 360° panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To gr...
The paper is dealing with scanpath comparison of eye-tracking data recorded during case study focused on the evaluation of 2D and 3D city maps. The experiment contained screenshots from three map port...
We present a building reconstruction approach, which is based on a target graph matching algorithm to relate laser data with building models. Establishing this relation is important for adding build...
Vectorization of raster data is very important in GIS. Adjacent vertices of vector graphics usually pass though the same vertical or horizontal straight lines after vectorization. This paper proposes ...
On analysis of existing images mosaicing methods, the conception of mosaicing graph is introduced and some principles to construct high quality panorama are presented in the paper. Image registration...
In this paper we propose an integrated approach in order to increase the precision of feature point matching. Many different algorithms have been developed as to optimizing the short-baseline image ma...
Building reconstruction is one of the most difficult and important 3D modelling problems for urban environment. In this paper, we develop an approach using minimum number of basic geometric elements t...
In this paper we propose a new method for the automatic extraction of tidal channels in digital terrain models (DTM) using a sampling approach based on marked point processes. In our model, the tidal ...

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