Results 21 to 30 of about 5,302,764 (297)

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   +3 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   +3 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
LuĂ­sa E. F. dos Anjos   +2 more
doaj   +1 more source

Multimatcher Model to Enhance Ontology Matching Using Background Knowledge

open access: yesInformation, 2021
Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi   +4 more
doaj   +1 more source

Image Background Matching for Identifying Suspects [PDF]

open access: yes, 2008
Thousands of digital images may exist of a given location, some of which may show a crime in progress. One technique for identifying suspects and witnesses is to collect images of specific crime scenes from computers, cell phones, cameras and other electronic devices, and perform image matching based on image backgrounds.
Paul Fogg   +2 more
openaire   +1 more source

A small-spot deformation camouflage design algorithm based on background texture matching

open access: yesDefence Technology, 2023
In order to solve the problem of poor fusion between the spots of deformation camouflage and the background, a small-spot deformation camouflage design algorithm based on background texture matching is proposed in this research.
Xin Yang   +9 more
doaj   +1 more source

Does soil color affect fish evolution? Differences in color change rate between lineages of the sailfin tetra [PDF]

open access: yesNeotropical Ichthyology, 2020
Several organisms match their skin color to the prevalent background color, granting crypsis against predators. The rate at which body color changes occur varies among organisms as a result of physiological constraints and adaptation to variation in ...
Kalebe S. Pinto   +5 more
doaj   +1 more source

Longitudinal effects of social background on educational and occupational pathways within early and strong school tracking [PDF]

open access: yes, 2013
peer reviewedTransitions from education to work are subject to person-related factors and institutional opportunity structures. Life course research increasingly focuses on longitudinal effects of social background on educational and occupational ...
Bergman, Manfred Max   +2 more
core   +2 more sources

The matching law [PDF]

open access: yes, 2011
This article introduces the quantitative analysis of choice behavior by describing a number of equations developed over the years to describe the relation between the allocation of behavior under concurrent schedules of reinforcement and the consequences
Timothy L. Edwards   +7 more
core   +1 more source

Matching Unstructured Vocabularies Using a Background Ontology [PDF]

open access: yes, 2006
Existing ontology matching algorithms use a combination of lexical and structural correspondence between source and target ontologies. We present a realistic case-study where both types of overlap are low: matching two unstructured lists of vocabulary used to describe patients at Intensive Care Units in two different hospitals.
Zharko Aleksovski   +3 more
openaire   +2 more sources

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