Results 21 to 30 of about 1,593,960 (305)
Meaningful maps with object-oriented semantic mapping [PDF]
For intelligent robots to interact in meaningful ways with their environment, they must understand both the geometric and semantic properties of the scene surrounding them. The majority of research to date has addressed these mapping challenges separately, focusing on either geometric or semantic mapping.
Niko Sünderhauf +4 more
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Polysemous Qualities and Universal Networks, Invariance and Diversity
The topic of this paper is the conceptual organization of polysemous prototypical qualities. This study, based on data collected in 24 languages, makes use of a single notional space composed of 110 notions.
Loïc-Michel Perrin
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The aim of this paper is to explore the degree to which semantic maps and conceptual spaces may comprehensively describe cross-linguistic variation by discussing the types of phenomena that may be consistently represented in a unified account.
Caterina Mauri
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The advancements in ship detection technology using convolutional neural networks (CNNs) regarding synthetic aperture radar (SAR) images have been significant. Yet, there are still some limitations in the existing detection algorithms.
Fanming Wei, Xiao Wang
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Representation of Semantic Mappings
The aim of this breakout session was to chart the landscape of existing approaches for representing mappings between heterogeneous models, identify common ideas and formulate research questions to be addressed in the future. In the session, the discussion mainly concerned three aspects: The nature of mappings, existing proposals for mappings and ...
Stuckenschmidt, Heiner, Uschold, Michael
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Similarity Semantics and Building Probabilistic Semantic Maps from Parallel Texts
This paper deals with statistical (non-implicational) semantic maps, built automatically using classical multidimensional scaling from a direct comparison of parallel text data (the Gospel according to Mark) in the domain of motion events (case ...
Bernhard Wälchli
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Extracting Semantic Information from Visual Data: A Survey
The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual ...
Qiang Liu +3 more
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Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments
Statistical learning techniques and increased computational power have facilitated the development of self-driving car technology. However, a limiting factor has been the high expense of scaling and maintaining high-definition (HD) maps. These maps are a
Hengyuan Zhang +5 more
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On Capturing Semantics in Ontology Mapping [PDF]
Semantic interoperability between disparate systems in open, distributed environments has become the quest of many practitioners in a variety of fields. One way to achieve such a goal is through ontology mapping. The perspective users of such technology, however, are faced with a number of challenges including ambiguity of the meaning of mappings ...
Bo Hu, Bin Hu
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Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images
The use of semantic representations to achieve place understanding has been widely studied using indoor information. This kind of data can then be used for navigation, localization, and place identification using mobile devices.
José Carlos Rangel +2 more
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