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Statistical properties of community structure in large social and information networks

by Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney
"... A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its members than to the remainder of the network. In this paper, we characterize as a function of size the statistical and structur ..."
Abstract - Cited by 246 (14 self) - Add to MetaCart
and structural properties of such sets of nodes. We define the network community profile plot, which characterizes the “best ” possible community—according to the conductance measure—over a wide range of size scales, and we study over 70 large sparse real-world networks taken from a wide range of application

Ontologies and knowledge bases: Towards a terminological clarification

by Nicola Guarino, Pierdaniele Giaretta - Towards very Large Knowledge bases: Knowledge Building and Knowledge sharing , 1995
"... The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number o ..."
Abstract - Cited by 310 (13 self) - Add to MetaCart
The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number

Graph Cuts and Efficient N-D Image Segmentation

by Yuri Boykov, Gareth Funka-Lea , 2006
"... Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of graph-cuts: segmentation of objects in image data. Despite its simplicity, this application epitomizes the best features ..."
Abstract - Cited by 307 (7 self) - Add to MetaCart
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of graph-cuts: segmentation of objects in image data. Despite its simplicity, this application epitomizes the best features

The Open Agent Architecture: A Framework for Building Distributed Software Systems

by David L. Martin, Adam J. Cheyer, Douglas B. Moran , 1999
"... The Open Agent Architecture #OAA#, developed and used for several years at SRI International, makes it possible for software services to be provided through the cooperative e#orts of distributed collections of autonomous agents. Communication and cooperation between agents are brokered by one or mor ..."
Abstract - Cited by 300 (9 self) - Add to MetaCart
The Open Agent Architecture #OAA#, developed and used for several years at SRI International, makes it possible for software services to be provided through the cooperative e#orts of distributed collections of autonomous agents. Communication and cooperation between agents are brokered by one

A finite-volume, incompressible Navier–Stokes model for studies of the ocean on parallel computers.

by John Marshall , Alistair Adcroft , Chris Hill , Lev Perelman , Curt Heisey - J. Geophys. Res., , 1997
"... Abstract. The numerical implementation of an ocean model based on the incompressible Navier Stokes equations which is designed for studies of the ocean circulation on horizontal scales less than the depth of the ocean right up to global scale is described. A "pressure correction" method i ..."
Abstract - Cited by 293 (32 self) - Add to MetaCart
. The method makes possible a novel treatment of the boundary in which cells abutting the bottom or coast may take on irregular shapes and be "shaved" to fit the boundary. The algorithm can conveniently exploit massively parallel computers and suggests a domain decomposition which allocates vertical

Status of land cover classification accuracy assessment

by Giles M. Foody - REMOTE SENSING OF ENVIRONMENT , 2002
"... The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper brie ..."
Abstract - Cited by 266 (3 self) - Add to MetaCart
briefly reviews the background and methods of classification accuracy assessment that are commonly used and recommended in the research literature. It is, however, evident that the research community does not universally adopt the approaches that are often recommended to it, perhaps a reflection

A Factorization Based Algorithm for Multi-Image Projective Structure and Motion

by Peter Sturm, Bill Triggs , 1996
"... . We propose a method for the recovery of projective shape and motion from multiple images of a scene by the factorization of a matrix containing the images of all points in all views. This factorization is only possible when the image points are correctly scaled. The major technical contribution of ..."
Abstract - Cited by 267 (15 self) - Add to MetaCart
. We propose a method for the recovery of projective shape and motion from multiple images of a scene by the factorization of a matrix containing the images of all points in all views. This factorization is only possible when the image points are correctly scaled. The major technical contribution

Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters

by Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney , 2008
"... A large body of work has been devoted to defining and identifying clusters or communities in social and information networks, i.e., in graphs in which the nodes represent underlying social entities and the edges represent some sort of interaction between pairs of nodes. Most such research begins wit ..."
Abstract - Cited by 208 (17 self) - Add to MetaCart
of size the statistical and structural properties of partitions of graphs that could plausibly be interpreted as communities. In particular, we define the network community profile plot, which characterizes the “best ” possible community—according to the conductance measure—over a wide range of size

Article Possible community immunity to Small Round Structured Virus gastroenteritis in a rural Aboriginal community

by Dan Ewald, Christine Franks, Ra Thompson, Mahomed S Patel
"... In April 1998 an outbreak of gastroenteritis affected visitors, but none of the Aboriginal residents, at a Territory Health Services luncheon in a rural Aboriginal community in Central Australia. The epidemiological features and identification of Small Round Structured Virus (SRSV) from two particip ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
In April 1998 an outbreak of gastroenteritis affected visitors, but none of the Aboriginal residents, at a Territory Health Services luncheon in a rural Aboriginal community in Central Australia. The epidemiological features and identification of Small Round Structured Virus (SRSV) from two

Health and Social Sciences working together in Community-Based Learning: Is this possible? Community Based Learning Module: Timeline

by Leide Da , Conceição Sanches , Leandro Rozin , Izabel Cristina Meister , Martins Coelho , Patricia Helena Napolitano , Christiane Luiza Santos , Elaine Rossi Ribeiro
"... Abstract This is a case study of the experience of integration of health teaching and the community, which aims to bring medical students closer to the context in which health users are inserted. This paper aims to present a case related to the experience of a multiprofessional team in the Communit ..."
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Abstract This is a case study of the experience of integration of health teaching and the community, which aims to bring medical students closer to the context in which health users are inserted. This paper aims to present a case related to the experience of a multiprofessional team
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