Results 51 to 60 of about 2,236,896 (335)
Mapping Method from Object-relational Database to RDF(S) [PDF]
Jisuanji kexue, 2021 With the development of intelligent information technology,knowledge graph has been widely used in intelligent search and other research area.The information in the knowledge map is generally represented by the data model of RDF(S).The construction of ...
LU Jia-wen, YAN Li
doaj +1 more source
Semantic tagging on historical maps [PDF]
Proceedings of the 5th Annual ACM Web Science Conference, 2013 10 ...
Haslhofer, Bernhard +3 more
openaire +2 more sources
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths
, 2017 Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between the image feature space and the semantic embedding space.
Hu, Huanhang +4 more
core +1 more source
ISPRS International Journal of Geo-Information, 2016 The need for integrating geospatial information (GI) data from various heterogeneous sources has seen increased importance for geographic information system (GIS) interoperability. Using domain ontologies to clarify and integrate the semantics of data is
Xi Kuai +5 more
doaj +1 more source
Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam
Sensors, 2022 Simultaneous localization and mapping (SLAM) technology can be used to locate and build maps in unknown environments, but the constructed maps often suffer from poor readability and interactivity, and the primary and secondary information in the map ...
Ying Sun +9 more
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S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots [PDF]
, 2020 Semantic mapping is fundamental to enable cognition and high-level planning in robotics. It is a difficult task due to generalization to different scenarios and sensory data types.
CAPOBIANCO, ROBERTO +3 more
core
Neural Plasticity, 2015 Neocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and hippocampal-independent integration of novel associations into ...
Tali Atir-Sharon +4 more
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Context, categories and modality: Challenges for the Rumelhart model [PDF]
, 2008 Three issues are raised in this commentary. First, the mapping of semantic information into the different layers could be done in a more realistic way by using the Context layer to represent situational contexts.
Hampton, J. A.
core +1 more source
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
, 2017 3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or semantic properties of the scene independently. In this work, we introduce
Fox, Dieter, Xiang, Yu
core +1 more source
LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information
SensorsSimultaneous Localization and Mapping (SLAM) remains challenging in dynamic environments. Recent approaches combining deep learning with algorithms for dynamic scenes comprise two types: faster, less accurate object detection-based methods and highly ...
Shuwen Wang +5 more
doaj +1 more source