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A Product Graph Based Method for Dual Subgraph Matching Applied to Symbol Spotting [chapter]

Anjan Dutta, Josep Lladós, Horst Bunke, Umapada Pal
2014 Lecture Notes in Computer Science  
This paper reports the extension of the product graph methodology for subgraph matching applied to symbol spotting in graphical documents.  ...  Nodes joining similar random walks between two graphs are found by combining different weighted exponentials of adjacency matrices.  ...  This work has been partially supported by the Spanish projects TIN2009-14633-C03-03, TIN2011-24631, TIN2012-37475-C02-02, 2010-CONE3-00029 and the PhD scholarship 2013FI B2 00074.  ... 
doi:10.1007/978-3-662-44854-0_2 fatcat:rgko4iffqzhirawpfhpxvpdqty

Product graph-based higher order contextual similarities for inexact subgraph matching

Anjan Dutta, Josep Lladós, Horst Bunke, Umapada Pal
2018 Pattern Recognition  
This is done by considering the tensor product graph (TPG) of two graphs to be matched, where each node is an ordered pair of nodes of the operand graphs.  ...  Since random walk formulation through TPG takes into account higher order information, it is not a surprise that we obtain more reliable similarities and better discrimination among the nodes and edges  ...  Here we convert the symbol spotting problem in graphical documents to a subgraph matching problem and apply the proposed product graph based subgraph matching algorithm for spotting symbols.  ... 
doi:10.1016/j.patcog.2017.12.003 fatcat:5ubxanxmtfazhgvb4ilarg2a6e

Crude oil market efficiency: An empirical investigation via the Shannon entropy

Walid Mensi, Chaker Aloui, Manel Hamdi, Duc Khuong Nguyen
2012 Économie internationale  
Distribution électronique pour La Documentation française. © La Documentation française. Tous droits réservés pour tous pays.  ...  Acknowledgement: we would like to thank the managing editor, Valérie Mignon, and two anonymous referees for their valuable and helpful comments. As usual, all remaining errors are ours.  ...  Note that it is possible to define more than two symbols for the oil return series, but in this paper we are only interested in the combinations of negative and positive returns.  ... 
doi:10.3917/ecoi.129.0119 fatcat:7bufzmrs3ffgbf73g3gyjw5dgy

Further evidence on the time-varying efficiency of crude oil markets

Chaker Aloui, Manel Hamdi, Walid Mensi, Duc Khuong. Nguyen
2012 Energy Studies Review  
Daily closing spot prices data for two worldwide crude oil benchmarks (West Texas Intermediate and Europe Brent) are used with a time window of 4 years.  ...  In this paper, we apply the rolling sample Shannon entropy and the Symbolic Time Series Analysis to evaluate the dynamic of weak-form efficiency of the crude oil markets.  ...  ACKNOWLEDGEMENTS The first author, Chaker Aloui, would like to thank the Deanship of Scientific Research at King Saud University represented by the research center at CBA for supporting this research financially  ... 
doi:10.15173/esr.v19i2.540 fatcat:xmqidirscbh5nk74kknlyab7gq

Big Data Analysis for Media Production

Josep Blat, Alun Evans, Hansung Kim, Evren Imre, Lukas Polok, Viorela Ila, Nikos Nikolaidis, Pavel Zemcik, Anastasios Tefas, Pavel Smrz, Adrian Hilton, Ioannis Pitas
2016 Proceedings of the IEEE  
The main cinema specific contributions, tested on a multisource production dataset made publicly available for research purposes, are the monitoring and quality assurance of multi-camera set-ups, multisource  ...  and enhance the post-production process.  ...  Traditional data visualizations are abstract, leading mostly to dynamic graphics (and symbolic pictograms in the less abstract cases).  ... 
doi:10.1109/jproc.2015.2496111 fatcat:u5cy6uv3bbfvjebuww7x4b3yfm

Computational Intelligence Techniques with Application to Crude Oil Price Projection: A Literature Survey from 2001- 2012

H. Chiroma, S. Abdulkareem, A. Abubakar, M. Joda Usman
2013 Neural Network World  
It is expected that researchers across the globe may thus be encouraged to re-direct their attention and resources in order to keep on searching for an optimum solution.  ...  The overall trend of the publications in this area of research issued within the last decade is also addressed.  ...  Among the selected trading strategies were buy and hold, technical analysis, naïve random walk and returns on treasury bills.  ... 
doi:10.14311/nnw.2013.23.032 fatcat:35opoiffefggpgbyxbj4cxhsnu

Physics-Based Anomaly Detection Defined on Manifold Space

Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2014 ACM Transactions on Knowledge Discovery from Data  
We also quantify and examine the effect of different Laplacian normalizations for anomaly detection.  ...  To further enhance the efficacy of our proposed algorithms, we explore the utility of anisotropic Gaussian kernel (AGK), which offers better manifold-aware affinity information.  ...  Figure 3 (a) and 3(b) show the performance of HKS on anomaly detection with t = 1 and t = 10 based on GAU and random walk graph Laplacian normalization L rw .  ... 
doi:10.1145/2641574 fatcat:7e47y33d35bpjff572cy3mje4y

Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects

Aqeel Feroze, Ali Daud, Tehmina Amjad, Malik Khizar Hayat
2021 SN Computer Science  
The graphical methodologies are then further classified under static versus dynamic and attributed versus plain graph methods.  ...  In this research, we bifurcated group anomaly detection techniques into activity-based and graph-based methods.  ...  Further, the unsupervised Bayesian model [58] and (bipartite graph) Random Walk method [42, 59] discovered the subgraphs that displayed huge changes in developing graphs.  ... 
doi:10.1007/s42979-021-00603-x fatcat:oyjzthza7vbhnakpm3t2ko6ctq

Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video

G. Lavee, E. Rivlin, M. Rudzsky
2009 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Finally we consider the application domain of video event understanding in light of the proposed taxonomy, and propose future directions for research in this field. 1  ...  Event modeling is devoted to describing events of interest formally and enabling recognition of these events as they occur in the video sequence.  ...  of the car to the parking spot and the car's speed.  ... 
doi:10.1109/tsmcc.2009.2023380 fatcat:eb46zx3wn5bd3fiaypn4p65jaa

Composite Visual Mapping for Time Series Visualization

Ali Jabbari, Renaud Blanch, Sophie Dupuy-Chessa
2018 2018 IEEE Pacific Visualization Symposium (PacificVis)  
Visualization is based upon visual mapping, which consists in association of data values to visual channels, e.g. position, size, and color of the graphical elements.  ...  Our goal is to introduce alternatives to the conventional visual mapping and find situations in which, the new approach compensate for the simplicity and familiarity of the existing techniques.  ...  My sincere thanks also go to my fellow doctoral students for their feedback, cooperation and of course friendship.  ... 
doi:10.1109/pacificvis.2018.00023 dblp:conf/apvis/JabbariBD18 fatcat:w5mw2al7vbgxpfpx3zcqv45cqe

Semantic Relations and Deep Learning [article]

Vivi Nastase, Stan Szpakowicz
2021 arXiv   pre-print
A new Chapter 5 of the book, by Vivi Nastase and Stan Szpakowicz, discusses relation classification/extraction in the deep-learning paradigm which arose after the first edition appeared.  ...  The second edition of "Semantic Relations Between Nominals" by Vivi Nastase, Stan Szpakowicz, Preslav Nakov and Diarmuid \'O S\'eaghdha has been published in April 2021 by Morgan & Claypool (  ...  A graph can also be represented as a collection of paths. Paths in graphs can result from graph traversal (e.g., breath first/depth first/etc.) or random walks.  ... 
arXiv:2009.05426v4 fatcat:rmzoalfwcza4nex7pd4u6w7kbe

Introduction To Matlab [article]

Simon Flyvbjerg Nørrelykke
2017 Zenodo  
Focus is on getting started with plotting, image analysis, and random walks, while introducing some basic principles of code-hygiene.  ...  A one-day introduction to MATLAB for biologists and other life-scientists. No former knowledge of programming assumed.  ...  MSD -simulated random walk We can also calculate the MSD for the discrete random walk that we simulated earlier.  ... 
doi:10.5281/zenodo.1001143 fatcat:ns6mrzqdezajjix2b3qwuiav2a

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
Case studies on academic projects and industrial knowledge graphs complement the survey of concepts and methods.  ...  To support the long-term life-cycle and the quality assurance of machine knowledge, the article presents methods for constructing open schemas and for knowledge curation.  ...  It is a great pleasure and honor to have such wonderful colleagues in our research community.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

Learning to Predict Combinatorial Structures [article]

Shankar Vembu
2010 arXiv   pre-print
For several combinatorial structures, including cycles, partially ordered sets, permutations and other graph classes, these assumptions do not hold.  ...  The major challenge in designing a discriminative learning algorithm for predicting structured data is to address the computational issues arising from the exponential size of the output space.  ...  Thus any learning algorithm whose function can be represented as a linear combination of inner products can use the kernel trick to avoid explicit computations of these inner products in the high-dimensional  ... 
arXiv:0912.4473v2 fatcat:olzo64uyxfg5jcjjvtjidvek54

Evidence-based Kernels: Fundamental Units of Behavioral Influence

Dennis D. Embry, Anthony Biglan
2008 Clinical Child and Family Psychology Review  
The paper describes 52 of these kernels, and details practical, theoretical, and research implications, including calling for a national database of kernels that influence human behavior.  ...  This paper describes evidence-based kernels, fundamental units of behavioral influence that appear to underlie effective prevention and treatment for children, adults, and families.  ...  or negative combinations of kernels not documented presently, variations of kernels related to cultures or other establishing conditions, and proximal and distal behavioral effects.  ... 
doi:10.1007/s10567-008-0036-x pmid:18712600 pmcid:PMC2526125 fatcat:xhuxgy72qrdcpkfqpqopxsnfoi
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