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Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches
[article]
2017
arXiv
pre-print
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In this work, we present a new algorithm for computing the core structural connectivity network of a subject sample combining graph theory and statistics. ...
We analyze the problem theoretically and prove its complexity. ...
Acknowledgements Authors acknowledge funding from ERC Advanced Grant agreement No 694665 : CoBCoM -Computational Brain Connectivity Mapping ...
arXiv:1701.01311v3
fatcat:i3pee6kefvhpjoryllrkpzuoou
Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches
[chapter]
2017
Lecture Notes in Computer Science
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In this work, we present a new algorithm for computing the core structural connectivity network of a subject sample combining graph theory and statistics. ...
We analyze the problem theoretically and prove its complexity. ...
Acknowledgements Authors acknowledge funding from ERC Advanced Grant agreement No 694665 : CoBCoM -Computational Brain Connectivity Mapping ...
doi:10.1007/978-3-319-59050-9_30
fatcat:72h7ba6bx5hq3ciqgsl5ghskre
Unsupervised Domain-adaptive Hash for Networks
[article]
2021
arXiv
pre-print
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Specifically, we develop four task-specific yet correlated components: (1) network structure preservation via a hard groupwise contrastive loss, (2) relaxation-free supervised hashing, (3) cross-domain ...
However, it has not been applied to multiple-domain networks. In this work, we bridge this gap by developing an unsupervised domain-adaptive hash learning method for networks, dubbed UDAH. ...
The core goal of autoencoders is to bridge the gap between the input and output by an encoder and a decoder, where the encoder aims to project the input data into a latent space by nonlinear mapping functions ...
arXiv:2108.09136v1
fatcat:duabx2ddrjdenn6j4llrmcrywi
Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression
2012
PLoS ONE
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These data were anatomically parcellated and functional connectivity matrices were then derived using the linear correlations between the BOLD signal fluctuations of all pairs of cortical and subcortical ...
We employed network-based analyses of "resting state" functional neuroimaging data to ascertain group differences in the endogenous cortical activity between healthy and depressed subjects. ...
The other graph-theoretical metrics require the underlying globally connected networks to be rendered sparse through thresholding. ...
doi:10.1371/journal.pone.0041282
pmid:22916105
pmcid:PMC3423402
fatcat:5zux7etj7jbhbpjjww6xycraja
Functional Dysconnection of the Inferior Frontal Gyrus in Young People With Bipolar Disorder or at Genetic High Risk
2017
Biological Psychiatry
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We performed betweengroup analyses of the functional connectivity of the left IFG and used graph theory to study its local functional network topology. ...
A small network incorporating neighboring insular regions and the anterior cingulate cortex showed weaker functional connectivity in at-risk than control participants (p , .006). ...
ACKNOWLEDGMENTS AND DISCLOSURES ...
doi:10.1016/j.biopsych.2016.08.018
pmid:28031150
fatcat:6uvlmm4ggvb75nlgvqdbfqfsre
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
[article]
2020
arXiv
pre-print
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The generative component is a structurally-regularized Dynamic Dictionary Learning (sr-DDL) model that decomposes the dynamic rs-fMRI correlation matrices into a collection of shared basis networks and ...
Our joint optimization strategy collectively estimates the basis networks, the subject-specific time-varying loadings, and the neural network weights. ...
and R01 MH106564), the National Institute of Neurological Disorders and Stroke (R01NS048527-08), and the Autism Speaks foundation. ...
arXiv:2008.12410v1
fatcat:54f6z2o2krevtkiq53eboldnce
NNR-GL: A Measure to Detect Co-nonlinearity Based on Neural Network Regression Regularized by Group Lasso
2021
IEEE Access
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GL can solve this problem by grouping edges connected to the same neuron and adjusting the weights groupwise. ...
FORMULATION AND DEFINITION We formulate the model structure, objective function, and optimization of NNR-GL Core in Function 1. ...
He is also the director of the Centre for Digital Futures Swinburne Sarawak, a fellow of the Society for Design and Process Science USA, and a senior member of the Australian Computer Society. ...
doi:10.1109/access.2021.3111105
fatcat:wgwpg2m6szcjfnw7rsavpkzil4
Computing environments for spatial data analysis
2000
Journal of Geographical Systems
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as Avenue for ArcView and MapBasic for MapInfo) sometimes preclude the use of the most efficient algorithms or data structures for the statistical computations. ...
models. 1 While these extensions maintain the familiar look-and-feel of the GIS or the statistical software, a drawback of the encompassing approach is that peculiarities of the scripting languages (such ...
National Science Foundation grants SES 88-10917 (to the National Center for Geographic Information and Analysis), SBR 94-10612, and BCS 99-78058 (to the Center for Spatially Integrated Social Science). ...
doi:10.1007/pl00011455
fatcat:numi5ah67zgv3nnxf5q6mknq5e
Semantic Similarity from Natural Language and Ontology Analysis
2015
Synthesis Lectures on Human Language Technologies
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2017 pre-print arXiv:1704.05295v1 fatcat:oivxz6re5fgupdt3p5i3skko7a
The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based ...
on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesaurus or ...
This approach extracts features of concepts from the graph. ...
doi:10.2200/s00639ed1v01y201504hlt027
fatcat:y3tbtmwwqbhydeuaf2dlqk62ui
Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis
[article]
2016
arXiv
pre-print
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Semantic measures generalize the well-known notions of semantic similarity, semantic relatedness and semantic distance, which have been extensively studied by various communities over the last decades ...
(e.g., Cognitive Sciences, Linguistics, and Artificial Intelligence to mention a few). ...
The Structural Approach SMs based on the structural approach compare the elements defined in the graph through the study of the structure of the graph induced by its relationships. ...
arXiv:1310.1285v3
fatcat:z2eipgghvvd7fawumejfnz4poa
Generalizing from a Few Examples: A Survey on Few-Shot Learning
[article]
2020
arXiv
pre-print
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We then point out that the core issue in FSL is that the empirical risk minimized is unreliable. ...
With this taxonomy, we review and discuss the pros and cons of each category. ...
ACKNOWLEDGMENTS This research is partially done in 4Paradigm Inc. when Yaqing Wang took the internship. ...
arXiv:1904.05046v3
fatcat:t3ipecry4vc2thzdu6sv65epwa
Computer-Assisted Analysis of Biomedical Images
[article]
2021
arXiv
pre-print
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In this regard, frameworks based on advanced Machine Learning and Computational Intelligence can significantly improve traditional Image Processing and Pattern Recognition approaches. ...
In particular, quantitative imaging methods convey scientifically and clinically relevant information in prediction, prognosis or treatment response assessment, by also considering radiomics approaches ...
The graph is assumed to be connected and undirected (i.e., w i j = w ji ). ...
arXiv:2106.04381v1
fatcat:osqiyd3sbja3zgrby7bf4eljfm
2020 Index IEEE Transactions on Vehicular Technology Vol. 69
2020
IEEE Transactions on Vehicular Technology
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Revocable Data-Sharing Scheme in VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency ...
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex ...
Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks. Kim, H., +, TVT Jan. 2020 935-947 Millimeter-Wave Base Station Deployment Using the Scenario Sampling Approach. ...
doi:10.1109/tvt.2021.3055470
fatcat:536l4pgnufhixneoa3a3dibdma
Collaborative Authoring of Walden's Paths
[chapter]
2012
Lecture Notes in Computer Science
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From the perspective of educators, the authoring tool allows educators to collaboratively build a Walden's Path by filtering and organizing web pages into an ordered linear structure for the common information ...
The collaborative authoring prototype of Walden's Paths targets two groups of users: educators and learners. ...
approaches of web resource sharing, according to the interviewees, are email, bookmark and social network. ...
doi:10.1007/978-3-642-33290-6_52
fatcat:qodl6duyxbcftfjz6cotmmaa5a
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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Particularly, the semi-supervised clustering is implemented as a graph partition problem by modeling each voxel as one node of the graph and connecting each pair of voxels with an edge weighted by a similarity ...
These methods build a graph with nodes at each voxel location, and edges connecting the nodes encoding constraints for each layer's thickness and smoothness. ...
This can be extended to classify the tissue as cancerous or non-cancerous and even predict the grade of the cancer. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
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