The Basic Principles of Metric Indexing
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[1] Wojciech Rytter,et al. Extracting Powers and Periods in a String from Its Runs Structure , 2010, SPIRE.
[2] Marcos R. Vieira,et al. DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data , 2010, J. Inf. Data Manag..
[3] Mauricio Marín,et al. Hybrid Index for Metric Space Databases , 2008, ICCS.
[4] Nieves R. Brisaboa,et al. Clustering-Based Similarity Search in Metric Spaces with Sparse Spatial Centers , 2008, SOFSEM.
[5] Israel Spiegler,et al. CM-tree: A dynamic clustered index for similarity search in metric databases , 2007, Data Knowl. Eng..
[6] Tomás Skopal,et al. Unified framework for fast exact and approximate search in dissimilarity spaces , 2007, TODS.
[7] Tomás Skopal,et al. Improving the Performance of M-Tree Family by Nearest-Neighbor Graphs , 2007, ADBIS.
[8] R. J. Barrientos,et al. Searching and Updating Metric Space Databases Using the Parallel EGNAT , 2007, International Conference on Computational Science.
[9] Pavel Zezula,et al. Nearest neighbor search in metric spaces through Content-Addressable Networks , 2007, Inf. Process. Manag..
[10] Nieves R. Brisaboa,et al. Spatial Selection of Sparse Pivots for Similarity Search in Metric Spaces , 2007, SOFSEM.
[11] Benjamin Bustos,et al. Dynamic similarity search in multi-metric spaces , 2006, MIR '06.
[12] Hanan Samet,et al. Foundations of multidimensional and metric data structures , 2006, Morgan Kaufmann series in data management systems.
[13] Bing Liu,et al. A Bottom-up Distance-based index Tree for Metric Space , 2006, 2006 2nd International Conference on Information & Communication Technologies.
[14] David Novak,et al. M-Chord: a scalable distributed similarity search structure , 2006, InfoScale '06.
[15] Gonzalo Navarro,et al. An Index Data Structure for Searching in Metric Space Databases , 2006, International Conference on Computational Science.
[16] Stephen Gilmore,et al. Combining Measurement and Stochastic Modelling to Enhance Scheduling Decisions for a Parallel Mean Value Analysis Algorithm , 2006, International Conference on Computational Science.
[17] Gonzalo Navarro,et al. On the Least Cost for Proximity Searching in Metric Spaces , 2006, WEA.
[18] Tomás Skopal,et al. On Fast Non-metric Similarity Search by Metric Access Methods , 2006, EDBT.
[19] William Fahle,et al. Review of "Graphs, Networks, and Algorithms (second edition) by Dieter Jungnickel", Springer-Verlag 2005 , 2005, SIGA.
[20] Pavel Zezula,et al. Similarity Search - The Metric Space Approach , 2005, Advances in Database Systems.
[21] Gonzalo Navarro,et al. Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order , 2005, MICAI.
[22] Marcos R. Vieira,et al. DBM-Tree: Trading height-balancing for performance in metric access methods , 2005, Journal of the Brazilian Computer Society.
[23] Kaizhong Zhang,et al. MetricMap: an embedding technique for processing distance-based queries in metric spaces , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[24] Yannis Manolopoulos,et al. R-Trees: Theory and Applications (Advanced Information and Knowledge Processing) , 2005 .
[25] Kimmo Fredriksson,et al. Exploiting distance coherence to speed up range queries in metric indexes , 2005, Inf. Process. Lett..
[26] Gonzalo Navarro,et al. A compact space decomposition for effective metric indexing , 2005, Pattern Recognit. Lett..
[27] Bjørn Olstad,et al. Retrieving Musical Information Based on Rhythm and Pitch Correlations , 2005 .
[28] Ge Yu,et al. BM+-Tree: A Hyperplane-Based Index Method for High-Dimensional Metric Spaces , 2005, DASFAA.
[29] Jun Sakuma,et al. Fast approximate similarity search in extremely high-dimensional data sets , 2005, 21st International Conference on Data Engineering (ICDE'05).
[30] Diego Reforgiato Recupero,et al. Antipole tree indexing to support range search and k-nearest neighbor search in metric spaces , 2005, IEEE Transactions on Knowledge and Data Engineering.
[31] Edgar Chávez,et al. Improving efficiency of implicit Markov chain state classification , 2004 .
[32] Abraham Kandel,et al. Data Mining in Time Series Database , 2004 .
[33] Vlastislav Dohnal,et al. An Access Structure for Similarity Search in Metric Spaces , 2004, EDBT Workshops.
[34] Hanan Samet,et al. Index-driven similarity search in metric spaces (Survey Article) , 2003, TODS.
[35] Gonzalo Navarro,et al. Improved deletions in dynamic spatial approximation trees , 2003, 23rd International Conference of the Chilean Computer Science Society, 2003. SCCC 2003. Proceedings..
[36] Gonzalo Navarro,et al. Memory-Adaptive Dynamic Spatial Approximation Trees , 2003, SPIRE.
[37] G. Navarro,et al. Fully dynamic and memory-adaptative spatial approximation trees , 2003 .
[38] Václav Snásel,et al. Revisiting M-Tree Building Principles , 2003, ADBIS.
[39] Pavel Zezula,et al. D-Index: Distance Searching Index for Metric Data Sets , 2003, Multimedia Tools and Applications.
[40] Pavel Zezula,et al. Similarity Join in Metric Spaces Using eD-Index , 2003, DEXA.
[41] Juan Ramón Rico-Juan,et al. Comparison of AESA and LAESA search algorithms using string and tree-edit-distances , 2003, Pattern Recognit. Lett..
[42] Pavel Zezula,et al. Region proximity in metric spaces and its use for approximate similarity search , 2003, TOIS.
[43] Marco Patella,et al. Searching in metric spaces with user-defined and approximate distances , 2002, TODS.
[44] Vladimir Pestov,et al. Indexing Schemes for Similarity Search: an Illustrated Paradigm , 2002, Fundam. Informaticae.
[45] Christos Faloutsos,et al. How to improve the pruning ability of dynamic metric access methods , 2002, CIKM '02.
[46] Gonzalo Navarro,et al. Fully Dynamic Spatial Approximation Trees , 2002, SPIRE.
[47] Giuseppe Amato,et al. Approximate similarity search in metric spaces , 2002 .
[48] Chun Zhang,et al. Storing and querying ordered XML using a relational database system , 2002, SIGMOD '02.
[49] David R. Karger,et al. Finding nearest neighbors in growth-restricted metrics , 2002, STOC '02.
[50] E. Chavez,et al. Pivot selection techniques for proximity searching in metric spaces , 2001, SCCC 2001. 21st International Conference of the Chilean Computer Science Society.
[51] Gonzalo Navarro,et al. Dynamic spatial approximation trees , 2001, SCCC 2001. 21st International Conference of the Chilean Computer Science Society.
[52] Pavel Zezula,et al. Similarity search in metric databases through hashing , 2001, MULTIMEDIA '01.
[53] Beng Chin Ooi,et al. Indexing the Distance: An Efficient Method to KNN Processing , 2001, VLDB.
[54] Wenfei Fan,et al. Keys with Upward Wildcards for XML , 2001, DEXA.
[55] Ricardo A. Baeza-Yates,et al. Searching in metric spaces , 2001, CSUR.
[56] Adil Alpkocak,et al. A Parallel Similarity Search in High Dimensional Metric Space Using M-Tree , 2001, IWCC.
[57] Christos Faloutsos,et al. Similarity search without tears: the OMNI-family of all-purpose access methods , 2001, Proceedings 17th International Conference on Data Engineering.
[58] Gonzalo Navarro,et al. An effective clustering algorithm to index high dimensional metric spaces , 2000, Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000.
[59] Ada Wai-Chee Fu,et al. Dynamic vp-tree indexing for n-nearest neighbor search given pair-wise distances , 2000, The VLDB Journal.
[60] Masahiro Ishikawa,et al. MB+Tree: A Dynamically Updatable Metric Index for Similarity Searches , 2000, Web-Age Information Management.
[61] Christos Faloutsos,et al. Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes , 2000, EDBT.
[62] Marco Patella,et al. PAC nearest neighbor queries: Approximate and controlled search in high-dimensional and metric spaces , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).
[63] Christos Faloutsos,et al. Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).
[64] Danilo Montesi,et al. Imprecision and User Preferences in Multimedia Queries: A Generic Algebraic Approach , 2000, FoIKS.
[65] Ricardo A. Baeza-Yates,et al. Spaghettis: an array based algorithm for similarity queries in metric spaces , 1999, 6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268).
[66] Gonzalo Navarro,et al. Searching in metric spaces by spatial approximation , 1999, 6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268).
[67] Z. Meral Özsoyoglu,et al. Indexing large metric spaces for similarity search queries , 1999, TODS.
[68] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.
[69] Malcolm P. Atkinson,et al. Issues Raised by Three Years of Developing PJama: An Orthogonally Persistent Platform for Java , 1999, ICDT.
[70] Pavel Zezula,et al. Approximate similarity retrieval with M-trees , 1998, The VLDB Journal.
[71] Pavel Zezula,et al. A cost model for similarity queries in metric spaces , 1998, PODS '98.
[72] Ronald Fagin,et al. Fuzzy queries in multimedia database systems , 1998, PODS '98.
[73] Pavel Zezula,et al. Processing Complex Similarity Queries with Distance-Based Access Methods , 1998, EDBT.
[74] Pavel Zezula,et al. Processing M-trees with parallel resources , 1998, Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications.
[75] Pavel Zezula,et al. M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.
[76] Z. Meral Özsoyoglu,et al. Distance-based indexing for high-dimensional metric spaces , 1997, SIGMOD '97.
[77] BozkayaTolga,et al. Distance-based indexing for high-dimensional metric spaces , 1997 .
[78] Luisa Micó,et al. A fast branch & bound nearest neighbour classifier in metric spaces , 1996, Pattern Recognit. Lett..
[79] Juan Miguel Vilar,et al. Reducing the Overhead of the AESA Metric-Space Nearest Neighbour Searching Algorithm , 1995, Inf. Process. Lett..
[80] Sergey Brin,et al. Near Neighbor Search in Large Metric Spaces , 1995, VLDB.
[81] Christos Faloutsos,et al. Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension , 1995, VLDB.
[82] Christos Faloutsos,et al. FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets , 1995, SIGMOD '95.
[83] Tzi-cker Chiueh,et al. Content-Based Image Indexing , 1994, VLDB.
[84] Enrique Vidal,et al. New formulation and improvements of the nearest-neighbour approximating and eliminating search algorithm (AESA) , 1994, Pattern Recognit. Lett..
[85] Luisa Micó,et al. A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements , 1994, Pattern Recognit. Lett..
[86] Hartmut Noltemeier,et al. A Data Structure for Representing and Efficient Querying Large Scenes of Geometric Objects: MB* Trees , 1993, Geometric Modelling.
[87] Jeffrey K. Uhlmann,et al. Satisfying General Proximity/Similarity Queries with Metric Trees , 1991, Inf. Process. Lett..
[88] Noltemeier Hartmut,et al. Voronoi Trees and Applications , 1989 .
[89] F. DEHNE,et al. Voronoi trees and clustering problems , 1987, Inf. Syst..
[90] Iraj Kalantari,et al. A Data Structure and an Algorithm for the Nearest Point Problem , 1983, IEEE Transactions on Software Engineering.
[91] Dieter Jungnickel,et al. Graphs, Networks, and Algorithms , 1980 .
[92] Eamonn J. Keogh. Nearest Neighbor , 2010, Encyclopedia of Machine Learning.
[93] P. Zezula,et al. Metric Space , 2009, Encyclopedia of Database Systems.
[94] Mária Bieliková,et al. SOFSEM 2008: Theory and Practice of Computer Science, 34th Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19-25, 2008, Proceedings , 2008, SOFSEM.
[95] Kimmo Fredriksson,et al. Engineering efficient metric indexes , 2007, Pattern Recognit. Lett..
[96] Wiebe van der Hoek,et al. SOFSEM 2007: Theory and Practice of Computer Science , 2007 .
[97] Jack Dongarra,et al. Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III , 2007, ICCS.
[98] Sumio Masuda,et al. Improvements of TLAESA nearest neighbour search algorithm and extension to approximation search , 2006, ACSC.
[99] Elena Deza,et al. Dictionary of distances , 2006 .
[100] Torsten Grust,et al. Advances in database technology - EDBT 2006 : 10th International Conference on Extending Database Technology, Munich, Germany, March 2006; proceedings , 2006 .
[101] A. Nanopoulos,et al. R-Trees: Theory and Applications , 2005, Advanced Information and Knowledge Processing.
[102] Gonzalo Navarro,et al. Metric Databases , 2005, Encyclopedia of Database Technologies and Applications.
[103] Jorge Horacio Doorn,et al. Encyclopedia of Database Technologies and Applications , 2005 .
[104] Alexander Gelbukh,et al. MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings , 2005, MICAI.
[105] Pavel Zezula,et al. Scalable Similarity Search in Metric Spaces , 2004, DELOS.
[106] Nora Reyes,et al. Spatial approximation + sequential scan = efficient metric indexing , 2004, XXIV International Conference of the Chilean Computer Science Society.
[107] Tomás Skopal,et al. Pivoting M-tree: A Metric Access Method for Efficient Similarity Search , 2004, DATESO.
[108] Vlastislav Dohnal. Indexing Structures for Searching in Metric Spaces , 2004 .
[109] Wolfgang Lindner,et al. Current Trends in Database Technology - EDBT 2004 Workshops, EDBT 2004 Workshops PhD, DataX, PIM, P2P&DB, and ClustWeb, Heraklion, Crete, Greece, March 14-18, 2004, Revised Selected Papers , 2004, EDBT Workshops.
[110] Ge Yu,et al. M+-tree : A New Dynamical Multidimensional Index for Metric Spaces , 2003, ADC.
[111] B. Olstad. Methods for retrieving musical information based on rythm and pitch correlations , 2003 .
[112] Bertil Folliot,et al. Advanced Environments, Tools, and Applications for Cluster Computing , 2002, Lecture Notes in Computer Science.
[113] Pavel Zezula,et al. Separable Splits of Metric Data Sets , 2001, SEBD.
[114] Magnus Lie Hetland. A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences , 2001 .
[115] H. Samet,et al. Incremental Similarity Search in Multimedia Databases , 2000 .
[116] Peter C. Lockemann,et al. Advances in Database Technology — EDBT 2000 , 2000, Lecture Notes in Computer Science.
[117] Peter Yianilos,et al. Excluded middle vantage point forests for nearest neighbor search , 1998 .
[118] Isidro Ramos,et al. Advances in Database Technology — EDBT'98 , 1998, Lecture Notes in Computer Science.
[119] Hartmut Noltemeier,et al. Geometric Modelling , 1998, Computing Supplement.
[120] Pavel Zezula,et al. Indexing Metric Spaces with M-Tree , 1997, SEBD.
[121] Peter N. Yianilos,et al. Data structures and algorithms for nearest neighbor search in general metric spaces , 1993, SODA '93.
[122] Hartmut Noltemeier,et al. Monotonous Bisector* Trees - A Tool for Efficient Partitioning of Complex Scenes of Geometric Objects , 1992, Data Structures and Efficient Algorithms.
[123] B. Monien,et al. Data structures and efficient algorithms , 1992, Lecture Notes in Computer Science.
[124] Natashia Boland,et al. An algorithm for solving quadratic network flow problems | NOVA. The University of Newcastle's Digital Repository , 1991 .
[125] Enrique Vidal-Ruiz,et al. An algorithm for finding nearest neighbours in (approximately) constant average time , 1986, Pattern Recognit. Lett..
[126] Bernard M. E. Moret,et al. DIMACS Series in Discrete Mathematics and Theoretical Computer Science Towards a Discipline of Experimental Algorithmics , 2022 .