Literatura académica sobre el tema "Graph projection"
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Artículos de revistas sobre el tema "Graph projection"
Bae, Yeolhui, Yugyeom Yi, Jeongmoo Lee y Sungmo Kang. "Research on Definition of BLL Graphs of Knot Diagrams and its Applications". Korean Science Education Society for the Gifted 14, n.º 3 (30 de diciembre de 2022): 229–36. http://dx.doi.org/10.29306/jseg.2022.14.3.229.
Texto completoLedermann, Florian. "Classifying Cartographic Projections Based on Dynamic Analysis of Program Code". Abstracts of the ICA 2 (9 de octubre de 2020): 1. http://dx.doi.org/10.5194/ica-abs-2-38-2020.
Texto completoCAELLI, TERRY y SERHIY KOSINOV. "INEXACT GRAPH MATCHING USING EIGEN-SUBSPACE PROJECTION CLUSTERING". International Journal of Pattern Recognition and Artificial Intelligence 18, n.º 03 (mayo de 2004): 329–54. http://dx.doi.org/10.1142/s0218001404003186.
Texto completoDal Col, Alcebiades y Fabiano Petronetto. "Graph regularization multidimensional projection". Pattern Recognition 129 (septiembre de 2022): 108690. http://dx.doi.org/10.1016/j.patcog.2022.108690.
Texto completoNIKKUNI, RYO, MAKOTO OZAWA, KOUKI TANIYAMA y YUKIHIRO TSUTSUMI. "NEWLY FOUND FORBIDDEN GRAPHS FOR TRIVIALIZABILITY". Journal of Knot Theory and Its Ramifications 14, n.º 04 (junio de 2005): 523–38. http://dx.doi.org/10.1142/s0218216505003932.
Texto completoHUH, YOUNGSIK. "AN ELEMENTARY SET FOR EMBEDDED BOUQUET GRAPHS WITH TWO CYCLES". Journal of Knot Theory and Its Ramifications 20, n.º 02 (febrero de 2011): 305–25. http://dx.doi.org/10.1142/s0218216511008796.
Texto completoHUH, YOUNGSIK y KOUKI TANIYAMA. "IDENTIFIABLE PROJECTIONS OF SPATIAL GRAPHS". Journal of Knot Theory and Its Ramifications 13, n.º 08 (diciembre de 2004): 991–98. http://dx.doi.org/10.1142/s0218216504003640.
Texto completoDouar, Brahim, Chiraz Latiri, Michel Liquiere y Yahya Slimani. "A Projection Bias in Frequent Subgraph Mining Can Make a Difference". International Journal on Artificial Intelligence Tools 23, n.º 05 (octubre de 2014): 1450005. http://dx.doi.org/10.1142/s0218213014500055.
Texto completoBach, Nguyen Gia, Chanh Minh Tran, Tho Nguyen Duc, Phan Xuan Tan y Eiji Kamioka. "Novel Projection Schemes for Graph-Based Light Field Coding". Sensors 22, n.º 13 (30 de junio de 2022): 4948. http://dx.doi.org/10.3390/s22134948.
Texto completoHjouj, Fawaz. "On Tomography with Unknown Orientation". Journal of Mathematical Sciences & Computer Applications 2, n.º 2 (10 de junio de 2017): 125–35. http://dx.doi.org/10.5147/jmsca.v2i1.99.
Texto completoTesis sobre el tema "Graph projection"
Wu, Yingxin. "Hybrid multivariate network visualization combining dimensional projection and graph drawing". Thesis, The University of Sydney, 2008. https://hdl.handle.net/2123/28136.
Texto completoTaki, Sara. "Anonymisation de données liées en utilisant la confidentialité différentielle". Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0009.
Texto completoThis thesis studies the problem of privacy in linked open data (LOD). Thiswork is at the intersection of long lines of work on data privacy and linked open data.Our goal is to study how the presence of semantics impacts the publication of data andpossible data leaks. We consider RDF as the format to represent LOD and DifferentialPrivacy (DP) as the main privacy concept. DP was initially conceived to define privacyin the relational database (RDB) domain and is based on a quantification of the difficultyfor an attacker observing an output to identify which database among a neighborhoodis used to produce it.The objective of this thesis is four-fold: O1) to improve the privacy of LOD. Inparticular, to propose an approach to construct usable DP-mechanisms on RDF; O2) tostudy how neighborhood definitions over RDB in the presence of foreign key (FK) constraints translate to RDF; O3) to propose new neighborhood definitions over relationaldatabase translating into existing graph concepts to ease the design of DP mechanisms;and O4) to support the implementation of sanitization mechanisms for RDF graphs witha rigorous formal foundation.For O1, we propose a novel approach based on graph projection to adapt DP toRDF. For O2, we determine the privacy model resulting from the translation of popularprivacy model over RDB with FK constraints to RDF. For O3, we propose the restrictdeletion neighborhood over RDB with FK constraints whose translation to the RDFgraph world is equivalent to typed-node neighborhood. Moreover, we propose a looserdefinition translating to typed-outedge neighborhood. For O4, we propose a graphtransformation language based on graph rewriting to serve as a basis for constructingvarious sanitization mechanisms on attributed graphs.We support all our theoretical contributions with proof-of-concept prototypes thatimplement our proposals and are evaluated on real datasets to show the applicability ofour work
Douar, Brahim. "Fouille de sous-graphes fréquents à base d'arc consistance". Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20108/document.
Texto completoWith the important growth of requirements to analyze large amount of structured data such as chemical compounds, proteins structures, social networks, to cite but a few, graph mining has become an attractive track and a real challenge in the data mining field. Because of the NP-Completeness of subgraph isomorphism test as well as the huge search space, frequent subgraph miners are exponential in runtime and/or memory use. In order to alleviate the complexity issue, existing subgraph miners have explored techniques based on the minimal support threshold, the description language of the examples (only supporting paths, trees, etc.) or hypothesis (search for shared trees or common paths, etc.). In this thesis, we are using a new projection operator, named AC-projection, which exhibits nice complexity properties as opposed to the graph isomorphism operator. This operator comes from the constraints programming field and has the advantage of a polynomial complexity. We propose two frequent subgraph mining algorithms based on the latter operator. The first one, named FGMAC, follows a breadth-first order to find frequent subgraphs and takes advantage of the well-known Apriori levelwise strategy. The second is a pattern-growth approach that follows a depth-first search space exploration strategy and uses powerful pruning techniques in order to considerably reduce this search space. These two approaches extract a set of particular subgraphs named AC-reduced frequent subgraphs. As a first step, we have studied the search space for discovering such frequent subgraphs and proved that this one is smaller than the search space of frequent isomorphic subgraphs. Then, we carried out experiments in order to prove that FGMAC and AC-miner are more efficient than the state-of-the-art algorithms. In the same time, we have studied the relevance of frequent AC-reduced subgraphs, which are much fewer than isomorphic ones, on classification and we conclude that we can achieve an important performance gain without or with non-significant loss of discovered pattern's quality
Luqman, Muhammad Muzzamil. "Fuzzy multilevel graph embedding for recognition, indexing and retrieval of graphic document images". Thesis, Tours, 2012. http://www.theses.fr/2012TOUR4005/document.
Texto completoThis thesis addresses the problem of lack of efficient computational tools for graph based structural pattern recognition approaches and proposes to exploit computational strength of statistical pattern recognition. It has two fold contributions. The first contribution is a new method of explicit graph embedding. The proposed graph embedding method exploits multilevel analysis of graph for extracting graph level information, structural level information and elementary level information from graphs. It embeds this information into a numeric feature vector. The method employs fuzzy overlapping trapezoidal intervals for addressing the noise sensitivity of graph representations and for minimizing the information loss while mapping from continuous graph space to discrete vector space. The method has unsupervised learning abilities and is capable of automatically adapting its parameters to underlying graph dataset. The second contribution is a framework for automatic indexing of graph repositories for graph retrieval and subgraph spotting. This framework exploits explicit graph embedding for representing the cliques of order 2 by numeric feature vectors, together with classification and clustering tools for automatically indexing a graph repository. It does not require a labeled learning set and can be easily deployed to a range of application domains, offering ease of query by example (QBE) and granularity of focused retrieval
Phan, Minh-Son. "Contribution à l'estimation de la similarité dans un ensemble de projections tomographiques non-orientées". Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD041/document.
Texto completoCryo-electron microscopy is a tomographic technique allowing to reconstruct a 3D model of complex structure in biology from a set of acquired images. These images are known as the tomographic projections and are taken at unknown directions. The advantage of the cryo-electron microscopy is the 3D reconstruction at very high resolution. The reconstruction procedure consists of many steps such as projection alignment, projection classification, orientation estimation and projection refinement. During these steps, the distance between two projections is frequently measured. The work in this thesis aims at studying the distances mesured between two unknown-direction projections with the objective of improving the reconstruction result in the cryo-electron microscopy. The contribution of this thesis is the developement of a method for estimating the angular difference between two projections in 2D and 3D. Our method is based on the construction of a neighborhood graph whose vertices are the projections, whose edges link the projection neighbors and are weighted by a local approximation of the angular difference. The calculation of the weights relies on the projection moment properties. The proposed method has been tested on simulated images with different resolutions and at different noise levels. The comparison with others estimation methods of angular difference has been realised
Farkas, Ábel. "Dimension and measure theory of self-similar structures with no separation condition". Thesis, University of St Andrews, 2015. http://hdl.handle.net/10023/7854.
Texto completoKourtellis, Nicolas. "On the Design of Socially-Aware Distributed Systems". Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4107.
Texto completoTsukamoto, Tatsuya. "Knot-inevitable projections of planar graphs /". Electronic version of summary, 1999. http://www.wul.waseda.ac.jp/gakui/gaiyo/2870.pdf.
Texto completoSun, Qiang. "A contribution to the theory of (signed) graph homomorphism bound and Hamiltonicity". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS109/document.
Texto completoIn this thesis, we study two main problems in graph theory: homomorphism problem of planar (signed) graphs and Hamiltonian cycle problem.As an extension of the Four-Color Theorem, it is conjectured ([80],[41]) that every planar consistent signed graph of unbalanced-girth d+1(d>1) admits a homomorphism to signed projective cube SPC(d) of dimension d. It is naturally asked that:Is SPC(d) an optimal bound of unbalanced-girth d+1 for all planar consistent signed graphs of unbalanced-girth d+1?In Chapter 2, we prove that: if (B,Ω) is a consistent signed graph of unbalanced-girth d which bounds the class of consistent signed planar graphs of unbalanced-girth d, then |B|≥2^{d-1}. Furthermore,if no subgraph of (B,Ω) bounds the same class, δ(B)≥d, and therefore,|E(B)|≥d·2^{d-2}.Our result shows that if the conjecture above holds, then the SPC(d) is an optimal bound both in terms of number of vertices and number of edges.When d=2k, the problem is equivalent to the homomorphisms of graphs: isPC(2k) an optimal bound of odd-girth 2k+1 for P_{2k+1}(the class of all planar graphs of odd-girth at least 2k+1)? Note that K_4-minor free graphs are planar graphs, is PC(2k) also an optimal bound of odd-girth 2k+1 for all K_4-minor free graphs of odd-girth 2k+1 ? The answer is negative, in [6], a family of graphs of order O(k^2) bounding the K_4-minor free graphs of odd-girth 2k+1 were given. Is this an optimal bound? In Chapter 3, we prove that: if B is a graph of odd-girth 2k+1 which bounds all the K_4-minor free graphs of odd-girth 2k+1,then |B|≥(k+1)(k+2)/2. Our result together with the result in [6] shows that order O(k^2) is optimal.Furthermore, if PC(2k) bounds P_{2k+1},then PC(2k) also bounds P_{2r+1}(r>k). However, in this case we believe that a proper subgraph of PC(2k) would suffice to bound P_{2r+1}, then what’s the optimal subgraph of PC(2k) that bounds P_{2r+1}? The first case of this problem which is not studied is k=3 and r=5. For this case, Naserasr [81] conjectured that the Coxeter graph bounds P_{11} . Supporting this conjecture, in Chapter 4, we prove that the Coxeter graph bounds P_{17}.In Chapter 5,6, we study the Hamiltonian cycle problems. Dirac showed in 1952that every graph of order n is Hamiltonian if any vertex is of degree at least n/2. This result started a new approach to develop sufficient conditions on degrees for a graph to be Hamiltonian. Many results have been obtained in generalization of Dirac’s theorem. In the results to strengthen Dirac’s theorem, there is an interesting research area: to control the placement of a set of vertices on a Hamiltonian cycle such that thesevertices have some certain distances among them on the Hamiltonian cycle.In this thesis, we consider two related conjectures, one is given by Enomoto: if G is a graph of order n≥3, and δ(G)≥n/2+1, then for any pair of vertices x, y in G, there is a Hamiltonian cycle C of G such that dist_C(x, y)=n/2. Motivated by this conjecture, it is proved,in [32],that a pair of vertices are located at distances no more than n/6 on a Hamiltonian cycle. In [33], the cases δ(G) ≥(n+k)/2 are considered, it is proved that a pair of vertices can be located at any given distance from 2 to k on a Hamiltonian cycle. Moreover, Faudree and Li proposed a more general conjecture: if G is a graph of order n≥3, and δ(G)≥n/2+1, then for any pair of vertices x, y in G andany integer 2≤k≤n/2, there is a Hamiltonian cycle C of G such that dist_C(x, y) = k. Using Regularity Lemma and Blow-up Lemma, in Chapter 5, we give a proof ofEnomoto’s conjecture for graphs of sufficiently large order, and in Chapter 6, we give a proof of Faudree and Li’s conjecture for graphs of sufficiently large order
Chu, Lei. "Colouring Cayley Graphs". Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1125.
Texto completoLibros sobre el tema "Graph projection"
Ali, Abdalla y Australian Bureau of Agricultural and Resource Economics., eds. Wine grapes: Projections of wine grape production and winery intake to 1994-95. Canberra: Australian Bureau of Agricultural and Resource Economics, 1992.
Buscar texto completoShepherd, Angela. Australian wine grape production and winery intake: Projections to 2002-03. Canberra: ABARE, 2000.
Buscar texto completoAlberto, Corso y Polini Claudia 1966-, eds. Commutative algebra and its connections to geometry: Pan-American Advanced Studies Institute, August 3--14, 2009, Universidade Federal de Pernambuco, Olinda, Brazil. Providence, R.I: American Mathematical Society, 2011.
Buscar texto completoCoolen, A. C. C., A. Annibale y E. S. Roberts. Applications of random graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0011.
Texto completoDicks, W. Groups, Trees and Projective Modules. Springer London, Limited, 2006.
Buscar texto completoCapítulos de libros sobre el tema "Graph projection"
van Wyk, Barend Jacobus, Michaël Antonie van Wyk y Hubert Edward Hanrahan. "Successive Projection Graph Matching". En Lecture Notes in Computer Science, 263–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-70659-3_27.
Texto completoDwyer, Tim y George Robertson. "Layout with Circular and Other Non-linear Constraints Using Procrustes Projection". En Graph Drawing, 393–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11805-0_37.
Texto completode Ridder, H. N. y H. L. Bodlaender. "Graph automorphisms with maximal projection distances". En Fundamentals of Computation Theory, 204–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48321-7_16.
Texto completoZhu, Lei, Jingjing Li y Zheng Zhang. "Dynamic Graph Learning for Feature Projection". En Dynamic Graph Learning for Dimension Reduction and Data Clustering, 15–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42313-0_2.
Texto completoSoylu, Ahmet y Evgeny Kharlamov. "Navigating OWL 2 Ontologies Through Graph Projection". En Metadata and Semantic Research, 113–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14401-2_10.
Texto completoHusák, Martin, Joseph Khoury, Đorđe Klisura y Elias Bou-Harb. "On the Provision of Network-Wide Cyber Situational Awareness via Graph-Based Analytics". En Complex Computational Ecosystems, 167–79. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44355-8_12.
Texto completoFatemi, Bahareh, Soheila Molaei, Hadi Zare y Shirui Pan. "Manifold Approximation and Projection by Maximizing Graph Information". En Advances in Knowledge Discovery and Data Mining, 128–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75768-7_11.
Texto completoYoshida, Tetsuya y Kazuhiro Okatani. "A Graph-Based Projection Approach for Semi-supervised Clustering". En Lecture Notes in Computer Science, 1–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15037-1_1.
Texto completoMa, Xiangnan, Wenting Yu, Lin Zhu y Luyi Bai. "Cross-Projection for Embedding Translation in Knowledge Graph Completion". En Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 185–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_20.
Texto completoDouar, Brahim, Michel Liquiere, Chiraz Latiri y Yahya Slimani. "Graph-Based Relational Learning with a Polynomial Time Projection Algorithm". En Inductive Logic Programming, 98–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31951-8_13.
Texto completoActas de conferencias sobre el tema "Graph projection"
Liu, Hanyang, Junwei Han y Feiping Nie. "Semi-supervised Orthogonal Graph Embedding with Recursive Projections". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/321.
Texto completoZhang, Zhaoyang y Zheng Tian. "Image Registration Using Isometric Projection of Graph". En 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5363554.
Texto completoShang, Ming-Sheng, Yan Fu y Duan-Bin Chen. "Personal Recommendation using Weighted Bipartite Graph Projection". En 2008 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA 2008). IEEE, 2008. http://dx.doi.org/10.1109/icacia.2008.4770004.
Texto completoWeerasinghe, Thilina, Daniel Romero, Cesar Asensio-Marco y Baltasar Beferull-Lozano. "Fast Distributed Subspace Projection via Graph Filters". En ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462110.
Texto completoWan, Hai, Yonghao Luo, Bo Peng y Wei-Shi Zheng. "Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/132.
Texto completoFutamura, Yasunori, Ryota Wakaki y Tetsuya Sakurai. "Spectral Graph Partitioning Using Geodesic Distance-based Projection". En 2021 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2021. http://dx.doi.org/10.1109/hpec49654.2021.9622831.
Texto completoTopczewska, Magdalena y Kurt Frischmuth. "Rank Regression by Projection Method vs Graph-Theoretical Algorithms". En 2008 7th Computer Information Systems and Industrial Management Applications (CISIM). IEEE, 2008. http://dx.doi.org/10.1109/cisim.2008.25.
Texto completoLi, Bing C. y Lockheed Martin. "Graph and Projection Pursuits Approach for Time Frequency Analysis". En 2021 IEEE Radar Conference (RadarConf21). IEEE, 2021. http://dx.doi.org/10.1109/radarconf2147009.2021.9455233.
Texto completoCeylan, Oguzhan y Gulsen Taskin. "Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms". En IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8900479.
Texto completoMa, Jun y GuangXia Wang. "Construction and Intelligent Application of Map Projection Knowledge Graph". En 2022 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2022. http://dx.doi.org/10.1109/icitbs55627.2022.00026.
Texto completoInformes sobre el tema "Graph projection"
Beck, D. M., M. J. Scott, S. F. Shindle, B. A. Napier, A. G. Thurman, N. C. Batishko, M. D. Davis y D. B. Pittenger. Hanford Area 1990 population and 50-year projections. [Appendix contains computer programming for population projections and graphs showing them by grid areas]. Office of Scientific and Technical Information (OSTI), octubre de 1991. http://dx.doi.org/10.2172/5070450.
Texto completoTavella, Pilar y Andrew Powell. Revelation of Expectations in Latin America (REVELA): Issue 24: September, 2012. Inter-American Development Bank, septiembre de 2012. http://dx.doi.org/10.18235/0008079.
Texto completoSalazni, Mariana y Andrew Powell. Revelation of Expectations in Latin America (REVELA): No. 12 : April, 2008. Inter-American Development Bank, abril de 2008. http://dx.doi.org/10.18235/0008245.
Texto completoSalazni, Mariana y Andrew Powell. Revelation of Expectations in Latin America (REVELA): No. 10 : February, 2008. Inter-American Development Bank, febrero de 2008. http://dx.doi.org/10.18235/0008243.
Texto completoSalazni, Mariana y Andrew Powell. Revelation of Expectations in Latin America (REVELA): No. 9 : January, 2008. Inter-American Development Bank, enero de 2008. http://dx.doi.org/10.18235/0008260.
Texto completoSalazni, Mariana y Andrew Powell. Revelation of Expectations in Latin America (REVELA): No. 11 : March, 2008. Inter-American Development Bank, marzo de 2008. http://dx.doi.org/10.18235/0008244.
Texto completoPinzon, Mauricio y Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 17 : September, 2008. Inter-American Development Bank, septiembre de 2008. http://dx.doi.org/10.18235/0008250.
Texto completoGalindo, Arturo y Mauricio Pinzon. Revelation of Expectations in Latin America (REVELA): No. 23 : March, 2009. Inter-American Development Bank, marzo de 2009. http://dx.doi.org/10.18235/0008255.
Texto completoSalazni, Mariana, Andrew Powell, Mauricio Pinzon y Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 16 : August, 2008. Inter-American Development Bank, agosto de 2008. http://dx.doi.org/10.18235/0008249.
Texto completoPinzon, Mauricio y Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 21 : January, 2009. Inter-American Development Bank, enero de 2009. http://dx.doi.org/10.18235/0008253.
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