Results 71 to 80 of about 259,805 (294)
Sensors, 2023 Allocentric semantic 3D maps are highly useful for a variety of human–machine interaction related tasks since egocentric viewpoints can be derived by the machine for the human partner. Class labels and map interpretations, however, may differ or could be
László Kopácsi +7 more
doaj +1 more source
Proposal Flow: Semantic Correspondences from Object Proposals [PDF]
, 2017 Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout. Semantic flow methods are designed to handle images depicting different instances of the same object or scene ...
Cho, Minsu +3 more
core +3 more sources
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Underwater Unsupervised Stereo Matching Method Based on Semantic Attention
Journal of Marine Science and EngineeringA stereo vision system provides important support for underwater robots to achieve autonomous navigation, obstacle avoidance, and precise operation in complex underwater environments.
Qing Li +5 more
doaj +1 more source
Automated schema matching techniques: an exploratory study [PDF]
, 2003 Manual schema matching is a problem for many database applications that use multiple data sources including data warehousing and e-commerce applications.
Rose, Ellen, Sun, Xiao Long
core
Multimodal Convolutional Neural Networks for Matching Image and Sentence
, 2015 In this paper, we propose multimodal convolutional neural networks (m-CNNs) for matching image and sentence. Our m-CNN provides an end-to-end framework with convolutional architectures to exploit image representation, word composition, and the matching ...
Li, Hang +3 more
core +1 more source
Semantic Matching of Engineering Data Structures [PDF]
, 2016 An important element of implementing a data integration solution in multi-disciplinary engineering settings, consists in identifying and defining relations between the different engineering data models and data sets that need to be integrated. The ontology matching field investigates methods and tools for discovering relations between semantic data ...
Kovalenko, Olga, Euzenat, Jérôme
openaire +2 more sources
Advanced Functional Materials, EarlyView.Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
Improving approximation of domain-focused, corpus-based, lexical semantic relatedness [PDF]
, 2017 Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts.
Rybinski, Maciej
core +1 more source
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source