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Proximity-Preserving Labeling Schemes and Their Applications [chapter]

David Peleg
1999 Lecture Notes in Computer Science  
A labeling scheme enjoying this property is termed a proximity-preserving labeling scheme.  ...  In addition to their theoretical interest, proximity-preserving labeling systems seem to have some relevance in the context of communication networks.  ...  Acknowledgements I am grateful to Cyril Gavoille, Yehuda Hassin and Richard Tan for helpful discussions.  ... 
doi:10.1007/3-540-46784-x_5 fatcat:foltucx5ejdodb4enkkgbyjsyq

Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data

Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
2012 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A diverse set of different schemes for label-based proximity calculation, as well as a mechanism for combining label-based and feature-based weight information by considering information importance and  ...  The other is a multilabel design framework that tackles the SDR problem by computing weight (proximity) matrices based on simultaneous feature and label information, referred to as MOPE, as a generalization  ...  ACKNOWLEDGMENTS This work was funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC project BB/G013160/1 Automated Biological Event Extraction from the Literature for Drug Discovery  ... 
doi:10.1109/tpami.2012.20 pmid:23289130 fatcat:6yf2kdjtvzakdgq2juhxkqfrja

Enhancing Privacy-Preserving Cloud Database Querying By Preventing Brute Force Attacks

Ambika Vishal Pawar, Ajay Dani
2014 Zenodo  
In tokenization and homomorphic cryptography based solutions for privacy preserving cloud database querying, there is possibility that by colluding with service provider adversary may run brute force attacks  ...  Unless these problems get solved, we think that the problem of preserving privacy in cloud databases is still open.  ...  Based on Fig. 1 , Yanbin Lu and Gene Tsudik [2] list following challenges in preserving privacy in cloud. • Challenge 1: While using SaaS applications on cloud platform enterprises outsource their data  ... 
doi:10.5281/zenodo.1336457 fatcat:dnh2hgoczfedpnvidrzmupitxe

Visualizing Graphs with Node and Edge Labels [article]

Yifan Hu
2009 arXiv   pre-print
This paper presents a unified node and edge overlap removal algorithm that does well at solving this problem.  ...  When drawing graphs whose edges and nodes contain text or graphics, such informa tion needs to be displayed without overlaps, either as part of the initial layout or as a post-processing step.  ...  Acknowledgments The author would like to thank Emden Gansner and Stephen North for helpful discussions.  ... 
arXiv:0911.0626v2 fatcat:uirdzcibu5ezhmtu2cduf2sntq

Enhanced Center Coding for Cell Detection with Convolutional Neural Networks [article]

Haoyi Liang and Aijaz Naik and Cedric L. Williams and Jaideep Kapur and Daniel S. Weller
2019 arXiv   pre-print
Two criteria of coding raw dot labels are discussed, and a new coding scheme is proposed in this paper.  ...  The proposed coding scheme improves the counting accuracy versus the widely-used Gaussian and rectangle kernels up to 12%, and also improves the detection accuracy versus the common proximity coding up  ...  Suchitra Joshi for her help preparing the brain tissues of the DG dataset, and Anvitha Kambham and Smriti Subedi for their help labeling the DG dataset.  ... 
arXiv:1904.08864v1 fatcat:ibmc74abbjatfmcw5lcrocwhqe

BiasedWalk: Biased Sampling for Representation Learning on Graphs

Duong Nguyen, Fragkiskos D. Malliaros
2018 2018 IEEE International Conference on Big Data (Big Data)  
Typical key applications, which have effectively been addressed using network embeddings, include link prediction, multilabel classification and community detection.  ...  Our random-walk based sampling can behave as Breath-First-Search (BFS) and Depth-First-Search (DFS) samplings with the goal to capture homophily and role equivalence between the nodes in the network.  ...  The reason is that LINE is proposed to preserve the first and the second-order proximity and that is really helpful for the link prediction task.  ... 
doi:10.1109/bigdata.2018.8621872 dblp:conf/bigdataconf/NguyenM18 fatcat:qokit5lnnnggdhkx3bmz2qmguq

BiasedWalk: Biased Sampling for Representation Learning on Graphs [article]

Duong Nguyen, Fragkiskos D. Malliaros
2018 arXiv   pre-print
Typical key applications, which have effectively been addressed using network embeddings, include link prediction, multilabel classification and community detection.  ...  Our random-walk based sampling can behave as Breath-First-Search (BFS) and Depth-First-Search (DFS) samplings with the goal to capture homophily and role equivalence between the nodes in the network.  ...  being selected as the next node (as their proximity scores are lower) compared to nodes 4 and 5.  ... 
arXiv:1809.02482v1 fatcat:jjmkeh4gl5h5xgwpi3f7kw45vy

Novel Approaches in Biomolecule Labeling

Cyrille Sabot, Péter Kele
2021 Biomolecules  
research to gain insight into biological processes to the most promising biomedical applications, including the development of diagnostics or targeted therapies [...]  ...  The selective functionalization of biomolecules such as proteins, nucleic acids, lipids or carbohydrates is a focus of persistent interest due to their widespread use, ranging from basic chemical biology  ...  labeling schemes of short alkyne modified peptides in vitro and on alkyne-modified cells, in cellulo.  ... 
doi:10.3390/biom11121809 pmid:34944453 pmcid:PMC8698964 fatcat:i2dj2xhukvcvhd4hqyptlaoai4

Graph embedding techniques, applications, and performance: A survey

Palash Goyal, Emilio Ferrara
2018 Knowledge-Based Systems  
We first introduce the embedding task and its challenges such as scalability, choice of dimensionality, and features to be preserved, and their possible solutions.  ...  Our analysis concludes by suggesting some potential applications and future directions.  ...  We reported various applications of embedding and their respective evaluation metrics.  ... 
doi:10.1016/j.knosys.2018.03.022 fatcat:wpud5byxxndllmhqdnhkljvcga

Privacy-Preserving Distributed Profile Matching in Proximity-Based Mobile Social Networks

Ming Li, Shucheng Yu, Ning Cao, Wenjing Lou
2013 IEEE Transactions on Wireless Communications  
performance analysis on our schemes, and show their benefits in each security and potency over progressive schemes.  ...  of privacy-preserving profile matching schemes for proximitybased mobile social networks.  ...  CONCLUSION In this paper, we have a tendency to for the primary time formalize the matter of privacy-preserving distributed profile matching in MSNs, and propose 2 concrete schemes that ISSN 2348 -7968  ... 
doi:10.1109/twc.2013.032513.120149 fatcat:oy5dio27i5bzvlh227o5paydrm

HARP: Hierarchical Representation Learning for Networks [article]

Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena
2017 arXiv   pre-print
We present HARP, a novel method for learning low dimensional embeddings of a graph's nodes which preserves higher-order structural features.  ...  HARP is a general meta-strategy to improve all of the state-of-the-art neural algorithms for embedding graphs, including DeepWalk, LINE, and Node2vec.  ...  Acknowledgements This work is partially supported by NSF grants IIS-1546113 and DBI-1355990.  ... 
arXiv:1706.07845v2 fatcat:srf2widg4jg63o6ejbmbhg2bd4

MESH: A Flexible Manifold-Embedded Semantic Hashing for Cross-Modal Retrieval

Fangming Zhong, Guangze Wang, Zhikui Chen, Feng Xia
2020 IEEE Access  
However, most of them mainly focus on the preservation of neighborhood relationship and label consistency, while ignore the proximity of neighbors and proximity of classes, which degrades the discrimination  ...  It exploits Local Linear Embedding to model the neighborhood proximity and uses class semantic embeddings to consider the proximity of classes.  ...  MESH preserves the neighborhood proximity and class proximity in the hash codes to augment the semantic information and improve the discrimination of hash codes.  ... 
doi:10.1109/access.2020.3015528 fatcat:k42zalqde5afbk5hlw3sj736im

Conjoining Gestalt rules for abstraction of architectural drawings

Liangliang Nan, Andrei Sharf, Ke Xie, Tien-Tsin Wong, Oliver Deussen, Daniel Cohen-Or, Baoquan Chen
2011 Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11  
In this work, we develop a computational framework which models Gestalt rules and more importantly, their complex interactions.  ...  We show an application of our method to line drawings of architectural models of various styles, and the potential of extending the technique to other computer-generated illustrations, and three-dimensional  ...  In an early work, DeCarlo and Santella [2002] compute image abstraction by preserving meaningful structures using an eye tracker to assist their image analysis.  ... 
doi:10.1145/2070752.2024219 fatcat:clmmlwfvdjdxzdm2rlmz3tfz54

Conjoining Gestalt rules for abstraction of architectural drawings

Liangliang Nan, Andrei Sharf, Ke Xie, Tien-Tsin Wong, Oliver Deussen, Daniel Cohen-Or, Baoquan Chen
2011 Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11  
In this work, we develop a computational framework which models Gestalt rules and more importantly, their complex interactions.  ...  We show an application of our method to line drawings of architectural models of various styles, and the potential of extending the technique to other computer-generated illustrations, and three-dimensional  ...  In an early work, DeCarlo and Santella [2002] compute image abstraction by preserving meaningful structures using an eye tracker to assist their image analysis.  ... 
doi:10.1145/2024156.2024219 fatcat:7ra4rvm53bbjtchudpvuie2aie

Conjoining Gestalt rules for abstraction of architectural drawings

Liangliang Nan, Andrei Sharf, Ke Xie, Tien-Tsin Wong, Oliver Deussen, Daniel Cohen-Or, Baoquan Chen
2011 ACM Transactions on Graphics  
In this work, we develop a computational framework which models Gestalt rules and more importantly, their complex interactions.  ...  We show an application of our method to line drawings of architectural models of various styles, and the potential of extending the technique to other computer-generated illustrations, and three-dimensional  ...  In an early work, DeCarlo and Santella [2002] compute image abstraction by preserving meaningful structures using an eye tracker to assist their image analysis.  ... 
doi:10.1145/2070781.2024219 fatcat:2czddt3vxnestjxp4d2uk36som
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