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Note: Links lead to the DBLP on the Web. Michael Vassilakopoulos Antonio Corral , Yannis Manolopoulos , Yannis Theodoridis , Michael Vassilakopoulos: Distance Join Queries of Multiple Inputs in Spatial Databases. ADBIS 2003 : 323-338 Adriano Di Pasquale , Luca Forlizzi , Christian S. Jensen , Yannis Manolopoulos , Enrico Nardelli , Dieter Pfoser , Guido Proietti , Simonas Saltenis , Yannis Theodoridis , Theodoros Tzouramanis , Michael Vassilakopoulos: Access Methods and Query Processing Techniques. Spatio-Temporal Databases: The CHOROCHRONOS Approach 2003 : 203-261 Alexandros Nanopoulos , Michael Vassilakopoulos, Yannis Manolopoulos : Performance Evaluation of Lazy Deletion Methods in R-trees. GeoInformatica 7 (4): 337-354 (2003) Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : Generating Dynamic Raster Data. IEEE Data Eng. Bull. 26 (2): 33-39 (2003) Antonio Corral , Joaquín Cañadas , Michael Vassilakopoulos: Approximate Algorithms for Distance-Based Queries in High-Dimensional Data Spaces Using R-Trees. ADBIS 2002 : 163-176 Apostolos Vontas , Philippos Koutsakas , Christina Athanasopoulou , Adamantios Koumpis , Panos Hatzaras , Yannis Manolopoulos , Michael Vassilakopoulos: Integrating Mobile Agent Infrastructures in Operational ERP Systems. ICEIS 2002 : 1107-1110 Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : On the Generation of Time-Evolving Regional Data. GeoInformatica 6 (3): 207-231 (2002) Antonio Corral , Michael Vassilakopoulos, Yannis Manolopoulos : The Impact of Buffering on Closest Pairs Queries Using R-Trees. ADBIS 2001 : 41-54 Antonio Corral , Joaquín Cañadas , Michael Vassilakopoulos: Processing Distance-Based Queries in Multidimensional Data Spaces Using R-trees. Panhellenic Conference on Informatics 2001 : 1-18 Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : Multiversion Linear Quadtree for Spatio-Temporal Data. ADBIS-DASFAA 2000 : 279-292 Antonio Corral , Yannis Manolopoulos , Yannis Theodoridis , Michael Vassilakopoulos: Closest Pair Queries in Spatial Databases. SIGMOD Conference 2000 : 189-200 Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : Overlapping Linear Quadtrees and Spatio-Temporal Query Processing. Comput. J. 43 (4): 325-343 (2000) Eleni Tousidou , Michael Vassilakopoulos, Yannis Manolopoulos : Performance Evaluation of Parallel S-Trees. J. Database Manag. 11 (3): 28-34 (2000) Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : Processing of Spatio-Temporal Queries in Image Databases. ADBIS 1999 : 85-97 Antonio Corral , Michael Vassilakopoulos: Esquemas de Indexación Espacio-Temporales para Datos Microclimáticos. JISBD 1999 : 61-62 Antonio Corral , Michael Vassilakopoulos, Yannis Manolopoulos : Algorithms for Joining R-Trees and Linear Region Quadtrees. SSD 1999 : 251-269 Theodoros Tzouramanis , Michael Vassilakopoulos, Yannis Manolopoulos : Overlapping Linear Quadtrees: A Spatio-Temporal Access Method. ACM-GIS 1998 : 1-7 Michael Vassilakopoulos, Yannis Manolopoulos : On Sampling Regional Data. Data Knowl. Eng. 22 (3): 309-318 (1997) Yannis Manolopoulos , Enrico Nardelli , Guido Proietti , Michael Vassilakopoulos: On the creation of quadtrees by using a branching process. Image Vision Comput. 14 (2): 159-164 (1996) Yannis Manolopoulos , Enrico Nardelli , Guido Proietti , Michael Vassilakopoulos: On the Generation of Aggregated Random Spatial Regions. CIKM 1995 : 318-325 Michael Vassilakopoulos, Yannis Manolopoulos : Dynamic Inverted Quadtree: A Structure for Pictorial Databases. Inf. Syst. 20 (6): 483-500 (1995) Michael Vassilakopoulos, Yannis Manolopoulos , Brigitte Kröll : Efficiency Analysis of Overlapped Quadtrees. Nord. J. Comput. 2 (1): 70-84 (1995) Michael Vassilakopoulos, Yannis Manolopoulos : Analytical Comparison of Two Spatial Data Structures. Inf. Syst. 19 (7): 569-582 (1994) Michael Vassilakopoulos, Yannis Manolopoulos : Analytical Results on the Quadtree Storage-Requirements. CAIP 1993 : 41-48 Michael Vassilakopoulos, Yannis Manolopoulos , K. Economou : Overlapping quadtrees for the representation of similar images. Image Vision Comput. 11 (5): 257-262 (1993) 1 [ 20 ] 2 [ 17 ] [ 21 ] 3 [ 10 ] [ 11 ] [ 15 ] [ 17 ] [ 18 ] [ 21 ] [ 25 ] 4 [ 1 ] 5 [ 24 ] 6 [ 20 ] 7 [ 24 ] 8 [ 20 ] 9 [ 20 ] 10 [ 4 ] 11 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 18 ] [ 19 ] [ 20 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ] 12 [ 23 ] 13 [ 6 ] [ 7 ] [ 24 ] 14 [ 24 ] 15 [ 24 ] 16 [ 6 ] [ 7 ] [ 24 ] 17 [ 24 ] 18 [ 15 ] [ 24 ] [ 25 ] 19 [ 13 ] 20 [ 9 ] [ 12 ] [ 14 ] [ 16 ] [ 19 ] [ 22 ] [ 24 ] 21 [ 20 ]  ©2004 Association for Computing Machinery |
