Open Access
Categorizing Binary Topological Relations Between Regions, Lines, and Points in Geographic Databases
TLDR
This research was partially funded by NSF grant No.Abstract:
This research was partially funded by NSF grant No. IRI-9309230 and grants from Intergraph Corporation. Additional support from NSF for the NCGIA under No. SBR-9204141 is gratefully acknowledged. Max J. Egenhofer University of Maine, National Center for Geographic Information and Analysis and Department of Surveying Engineering, Department of Computer Science, University of Maine, Orono, ME 04469-5711, max@mecan1.maine.eduread more
Citations
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Journal ArticleDOI
Visual graph modeling for scene recognition and mobile robot localization
TL;DR: Experimental results show that using visual graph model (VGM) improves the accuracies of the results of the standard language model (LM) and outperforms the Support Vector Machine (SVM) method.
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Deriving topological relations between regions from direction relations
Luo Guo,Shihong Du +1 more
TL;DR: The methods can provide topological information when topological relations are unavailable, or more precise results are expected, and are helpful in the integration of the calculi for topological and direction relations.
Posted Content
Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback
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TL;DR: This article solves the planar navigation problem by recourse to an online reactive scheme that exploits recent advances in simultaneous localization and mapping (SLAM) and visual object recognition to recast prior geometric knowledge in terms of an offline catalog of familiar objects.
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An Unified CGA-Based Formal Expression of Spatio-Temporal Topological Relations for Computation and Analysis of Geographic Objects
Yingzhi Wang,Feng Zhang +1 more
TL;DR: The research provides theoretical and methodological support for expressing and computing the spatio-temporal topological relations among any set of geographic objects and enhances the analytical capabilities of GIS for dealing with both space and time.
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Medical Image Segmentation Using Multi-level Set Partitioning with Topological Graph Prior
TL;DR: This novel method is capable of segmenting adjacent objects with very close gray level that would be difficult to segment correctly using standard methods, and shows the graph prior technique to explain how it gives precise multi-region segmentation.
References
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Book
Metaphors We Live By
George Lakoff,Mark Johnson +1 more
TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
Journal ArticleDOI
Metaphors We Live by
TL;DR: Lakoff and Johnson as discussed by the authors present a very attractive book for linguists to read, which is written in a direct and accessible style; while it introduces and uses a number of new terms, for the most part it is free of jargon.
Journal Article
Maintaining knowledge about temporal intervals
TL;DR: An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between space and time.
Journal ArticleDOI
Maintaining knowledge about temporal intervals
TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Book
The Theory of Parsing, Translation, and Compiling
Alfred V. Aho,Jeffrey D. Ullman +1 more
TL;DR: It is the hope that the algorithms and concepts presented in this book will survive the next generation of computers and programming languages, and that at least some of them will be applicable to fields other than compiler writing.