Results 21 to 30 of about 362,507 (292)

Matching of Remote Sensing Images with Complex Background Variations via Siamese Convolutional Neural Network

open access: yesRemote Sensing, 2018
Feature-based matching methods have been widely used in remote sensing image matching given their capability to achieve excellent performance despite image geometric and radiometric distortions.
Haiqing He   +3 more
doaj   +2 more sources

Exploiting the Structure of Background Knowledge Used in Ontology Matching. [PDF]

open access: yesCEUR Workshop Proceedings, 2006
We investigate the use of a background knowledge ontology in ontology matching. We conducted experiments on matching two medical ontologies using a third extensive one as background knowledge, and compare the results with directly matching the two ontologies.
Aleksovski, Zharko   +2 more
openaire   +2 more sources

Discovering Missing Background Knowledge in Ontology Matching. [PDF]

open access: yes, 2006
Semantic matching determines the mappings between the nodes of two graphs (e.g., ontologies) by computing logical relations (e.g., subsumption) holding among the nodes that correspond semantically to each other.
Giunchiglia, Fausto   +2 more
openaire   +2 more sources

Cuttlefish camouflage: Blending in by matching background features [PDF]

open access: yesCurrent Biology, 2022
Cuttlefish are masters of camouflage and show a remarkable ability to hide in plain sight. A new study reveals how these animals translate visual information about their surroundings into effective camouflage patterns.
How M. J., Santon M.
openaire   +3 more sources

Background knowledge in ontology matching: A survey

open access: yesSemantic Web, 2022
Ontology matching is an integral part for establishing semantic interoperability. One of the main challenges within the ontology matching operation is semantic heterogeneity, i.e. modeling differences between the two ontologies that are to be integrated. The semantics within most ontologies or schemas are, however, typically incomplete because they are
Portisch, Jan   +2 more
openaire   +2 more sources

Distance-dependent aposematism and camouflage in the cinnabar moth caterpillar (Tyria jacobaeae, Erebidae) [PDF]

open access: yesRoyal Society Open Science, 2018
Defended prey often use distinctive, conspicuous, colours to advertise their unprofitability to potential predators (aposematism). These warning signals are frequently made up of salient, high contrast, stripes which have been hypothesized to increase ...
James B. Barnett   +2 more
doaj   +1 more source

Nocturnal camouflage through background matching against moonlight. [PDF]

open access: yesProc Natl Acad Sci U S A
Camouflage is often considered a daytime phenomenon based on light and shade. Nocturnal camouflage can also occur, but its mechanistic basis remains unclear. Here, we analyze the conditions for background matching (BM) of avian predators against the night sky.
Negro JJ   +9 more
europepmc   +7 more sources

Water column use by reef fishes of different color patterns [PDF]

open access: yesNeotropical Ichthyology, 2022
Color in animals responds to selective pressures and mediates the relationship between organism and environment. Reef fishes have the amplest variety of pigment cell types. This color patterns’ variety may function as camouflage and be related to spatial
Luísa E. F. dos Anjos   +2 more
doaj   +1 more source

Adaptive Background Matting Using Background Matching

open access: yesCoRR, 2022
Due to the difficulty of solving the matting problem, lots of methods use some kinds of assistance to acquire high quality alpha matte. Green screen matting methods rely on physical equipment. Trimap-based methods take manual interactions as external input. Background-based methods require a pre-captured, static background. The methods are not flexible
openaire   +2 more sources

Background Knowledge in Schema Matching: Strategy vs. Data [PDF]

open access: yes, 2021
The use of external background knowledge can be beneficial for the task of matching schemas or ontologies automatically. In this paper, we exploit six general-purpose knowledge graphs as sources of background knowledge for the matching task. The background sources are evaluated by applying three different exploitation strategies.
Jan Portisch   +2 more
openaire   +2 more sources

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