نتایج جستجو برای: graph based coherence

تعداد نتایج: 3122352  

Journal: :IEICE Transactions on Information and Systems 2022

2017
Hrvoje Bogunović Michael D. Abràmoff Milan Sonka

Age-related macular degeneration (AMD) is a leading cause of blindness in developed countries. Its most damaging form is characterized by accumulation of fluid inside the retina, whose quantification is of utmost importance for evaluating the disease progression. In this paper we propose an automated method for retinal fluid segmentation from 3D images acquired with optical coherence tomography...

2010
Adam J. Richards Brian Muller Matthew Shotwell L. Ashley Cowart Bärbel Rohrer Xinghua Lu

MOTIVATION The results of initial analyses for many high-throughput technologies commonly take the form of gene or protein sets, and one of the ensuing tasks is to evaluate the functional coherence of these sets. The study of gene set function most commonly makes use of controlled vocabulary in the form of ontology annotations. For a given gene set, the statistical significance of observing the...

2005
J. Jagadeesh Vasudeva Varma

The need for text summarization is crucial as we enter the era of information overload. However, the current implementations are specific to a domain or a genre of the source document. In this paper, we discuss an algorithm for text summarization which is independent of domain and document source. This algorithm creates text summaries by analyzing the logical structure of the sentences. Sentenc...

Journal: :Signal Processing 2017
Nima Riahi Peter Gerstoft

We develop a model-free technique to identify weak sources within dense sensor arrays using graph clustering. No knowledge about the propagation medium is needed except that signal strengths decay to insignificant levels within a scale that is shorter than the aperture. We then reinterpret the spatial coherence matrix of a wave field as a matrix whose support is a connectivity matrix of a graph...

2011
Ullas Gargi Wenjun Lu Vahab S. Mirrokni Sangho Yoon

Detecting coherent and well-connected communities inside large-scale graphs is an interesting problem that can provide useful insight into the graph structure and individual communities. It can also serve as the basis for content exploration and discovery within the graph. Clustering is a popular technique for community detection, however, the two main categories of clustering algorithms, i.e, ...

A new method to quantify, monitore and assess ecological structures and functions is the application of graph theory. In ecology, this theory demonstrates its suitable application in assessment of ecological connectivity. Connectivity is the structural attribute of landscape which facilitates the species movement among their habitats. Using graph theory, this paper aims to assess the connectivi...

2018
Abd AlRahman AlMomani Erik M. Bollt

Viewing a data set such as the clouds of Jupiter, coherence is readily apparent to human observers, especially the Great Red Spot, but also other great storms and persistent structures. There are now many different definitions and perspectives mathematically describing coherent structures, but we will take an image processing perspective here. We describe an image processing perspective inferen...

2016
Abd AlRahman AlMomani Erik M. Bollt

Viewing a data set such as the clouds of Jupiter, coherence is readily apparent to human observers, especially the Great Red Spot, but also other great storms and persistent structures. There are now many different definitions and perspectives mathematically describing coherent structures, but we will take an image processing perspective here. We describe an image processing perspective inferen...

2014
Nileshsingh V. Thakur Vikramsingh R. Parihar

This paper presents the image segmentation approach based on graph theory and threshold. Amongst the various segmentation approaches, the graph theoretic approaches in image segmentation make the formulation of the problem more flexible and the computation more resourceful. The problem is modeled in terms of partitioning a graph into several sub-graphs; such that each of them represents a meani...

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