منابع مشابه
Optimal background matching camouflage
Background matching is the most familiar and widespread camouflage strategy: avoiding detection by having a similar colour and pattern to the background. Optimizing background matching is straightforward in a homogeneous environment, or when the habitat has very distinct sub-types and there is divergent selection leading to polymorphism. However, most backgrounds have continuous variation in co...
متن کاملCephalopod dynamic camouflage: bridging the continuum between background matching and disruptive coloration.
Individual cuttlefish, octopus and squid have the versatile capability to use body patterns for background matching and disruptive coloration. We define--qualitatively and quantitatively--the chief characteristics of the three major body pattern types used for camouflage by cephalopods: uniform and mottle patterns for background matching, and disruptive patterns that primarily enhance disruptiv...
متن کاملThe use of background matching vs. masquerade for camouflage in cuttlefish Sepia officinalis
Cuttlefish, Sepia officinalis, commonly use their visually-guided, rapid adaptive camouflage for multiple tactics to avoid detection or recognition by predators. Two common tactics are background matching and resembling an object (masquerade) in the immediate area. This laboratory study investigated whether cuttlefish preferentially camouflage themselves to resemble a three-dimensional (3D) obj...
متن کاملSelecting Optimal Background Knowledge Sources for the Ontology Matching Task
It is a common practice to rely on background knowledge (BK) in order to assist and improve the ontology matching process. The choice of an appropriate source of background knowledge for a given matching task, however, remains a vastly unexplored question. In the current paper, we propose an automatic BK selection approach that does not depend on an initial direct matching, can handle multiling...
متن کاملBackground Knowledge in Ontology Matching
Ontology matching is a critical operation in many well-known metadata intensive applications, such as data integration and peer-to-peer information sharing. Typically, heterogeneity in these applications is reduced in two steps: (i) matching ontologies to determine correspondences and (ii) executing correspondences according to an application needs (e.g., data translation). In this position sta...
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ژورنال
عنوان ژورنال: Proceedings of the Royal Society B: Biological Sciences
سال: 2017
ISSN: 0962-8452,1471-2954
DOI: 10.1098/rspb.2017.0709