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Note: Links lead to the DBLP on the Web. Thomas Seidl Christoph Brochhaus , Jost Enderle , Achim Schlosser , Thomas Seidl, Knut Stolze : Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. BTW 2005 : 67-86 Thomas Seidl: Nearest Neighbor Search on Multimedia Indexing Structures. CVDB 2004 : 2 M. Tamer Özsu , Jean Carrive , Sébastien Gilles , Izabela Grasland , Roger Mohr , Thomas Seidl: CVDB 2004 Panel: Future Applications and Solutions. CVDB 2004 : 67-68 Hans-Peter Kriegel , Martin Pfeifle , Marco Pötke , Thomas Seidl: A Cost Model for Spatial Intersection Queries on RI-Trees. DASFAA 2004 : 331-338 Karin Kailing , Hans-Peter Kriegel , Stefan Schönauer , Thomas Seidl: Efficient Similarity Search for Hierarchical Data in Large Databases. EDBT 2004 : 676-693 Karin Kailing , Hans-Peter Kriegel , Stefan Schönauer , Thomas Seidl: Efficient Similarity Search in Large Databases of Tree Structured Objects. ICDE 2004 : 835-836 Jost Enderle , Matthias Hampel , Thomas Seidl: Joining Interval Data in Relational Databases. SIGMOD Conference 2004 : 683-694 Hans-Peter Kriegel , Martin Pfeifle , Marco Pötke , Thomas Seidl: The Paradigm of Relational Indexing: a Survey. BTW 2003 : 285-304 Hans-Peter Kriegel , Martin Pfeifle , Marco Pötke , Matthias Renz , Thomas Seidl: Spatial Data Management for Virtual Product Development. Computer Science in Perspective 2003 : 216-230 Hans-Peter Kriegel , Martin Pfeifle , Marco Pötke , Thomas Seidl: Spatial Query Processing for High Resolutions. DASFAA 2003 : 17-26 Hans-Peter Kriegel , Peer Kröger , Zahi Mashael , Martin Pfeifle , Marco Pötke , Thomas Seidl: Effective Similarity Search on Voxelized CAD Object. DASFAA 2003 : 27- Hans-Peter Kriegel , Martin Pfeifle , Marco Pötke , Thomas Seidl: A Cost Model for Interval Intersection Queries on RI-Trees. SSDBM 2002 : 131-141 Christian Böhm , Hans-Peter Kriegel , Thomas Seidl: Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. J. Intell. Inf. Syst. 19 (2): 207-230 (2002) Christian Böhm , Hans-Peter Kriegel , Thomas Seidl: Adaptable Similarity Search Using Vector Quantization. DaWaK 2001 : 317-327 Hans-Peter Kriegel , Andreas Müller , Marco Pötke , Thomas Seidl: DIVE: Database Integration for Virtual Engineering. ICDE Demo Sessions 2001 : 15-16 Hans-Peter Kriegel , Andreas Müller , Marco Pötke , Thomas Seidl: Spatial Data Management for Computer Aided Design. SIGMOD Conference 2001 Hans-Peter Kriegel , Marco Pötke , Thomas Seidl: Interval Sequences: An Object-Relational Approach to Manage Spatial Data. SSTD 2001 : 481-501 Hans-Peter Kriegel , Marco Pötke , Thomas Seidl: Object-Relational Indexing for General Interval Relationships. SSTD 2001 : 522-542 Hans-Peter Kriegel , Marco Pötke , Thomas Seidl: Managing Intervals Efficiently in Object-Relational Databases. VLDB 2000 : 407-418 Stefan Berchtold , Daniel A. Keim , Hans-Peter Kriegel , Thomas Seidl: Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. 12 (1): 45- (2000) Mihael Ankerst , Gabi Kastenmüller , Hans-Peter Kriegel , Thomas Seidl: Nearest Neighbor Classification in 3D Protein Databases. ISMB 1999 : 34-43 Mihael Ankerst , Gabi Kastenmüller , Hans-Peter Kriegel , Thomas Seidl: 3D Shape Histograms for Similarity Search and Classification in Spatial Databases. SSD 1999 : 207-226 Thomas Seidl, Hans-Peter Kriegel : Adaptable Similarity Search in Large Image Databases. State-of-the-Art in Content-Based Image and Video Retrieval 1999 : 297-317 Rolf Backofen , François Bry , Peter Clote , Hans-Peter Kriegel , Thomas Seidl, Klaus U. Schulz : Bioinformatik - Aktuelles Schlagwort. Informatik Spektrum 22 (5): 376-378 (1999) Thomas Seidl, Gabi Kastenmüller , Hans-Peter Kriegel : Similarity Search in 3D Protein Databases. German Conference on Bioinformatics 1998 Stefan Berchtold , Bernhard Ertl , Daniel A. Keim , Hans-Peter Kriegel , Thomas Seidl: Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998 : 209-218 Thomas Seidl, Hans-Peter Kriegel : Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference 1998 : 154-165 Mihael Ankerst , Bernhard Braunmüller , Hans-Peter Kriegel , Thomas Seidl: Improving Adaptable Similarity Query Processing by Using Approximations. VLDB 1998 : 206-217 Thomas Seidl: Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). Datenbank Rundbrief 21 : 96 (1998) Hans-Peter Kriegel , Thomas Seidl: Approximation-Based Similarity Search for 3-D Surface Segments. GeoInformatica 2 (2): 113-147 (1998) Mihael Ankerst , Hans-Peter Kriegel , Thomas Seidl: A Multistep Approach for Shape Similarity Search in Image Databases. IEEE Trans. Knowl. Data Eng. 10 (6): 996-1004 (1998) Hans-Peter Kriegel , Thomas Schmidt , Thomas Seidl: 3D Similarity Search by Shape Approximation. SSD 1997 : 11-28 Thomas Seidl, Hans-Peter Kriegel : Efficient User-Adaptable Similarity Search in Large Multimedia Databases. VLDB 1997 : 506-515 Martin Ester , Hans-Peter Kriegel , Thomas Seidl, Xiaowei Xu : Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. BTW 1995 : 373-382 Thomas Seidl, Hans-Peter Kriegel : Solvent Accessible Surface Representation in a Database System for Protein Docking. ISMB 1995 : 350-358 Thomas Seidl, Hans-Peter Kriegel : A 3D Molecular Surface Representation Supporting Neighborhood Queries. SSD 1995 : 240-258 Daniel A. Keim , Hans-Peter Kriegel , Thomas Seidl: Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994 : 302-313 Daniel A. Keim , Hans-Peter Kriegel , Thomas Seidl: Visual Feedback in Querying Large Databases. IEEE Visualization 1993 : 158-165 1 [ 8 ] [ 11 ] [ 17 ] [ 18 ] 2 [ 15 ] 3 [ 13 ] [ 19 ] 4 [ 25 ] [ 26 ] 5 [ 11 ] 6 [ 38 ] 7 [ 15 ] 8 [ 36 ] 9 [ 15 ] 10 [ 32 ] [ 38 ] 11 [ 13 ] 12 [ 5 ] 13 [ 36 ] 14 [ 36 ] 15 [ 32 ] 16 [ 33 ] [ 34 ] 17 [ 14 ] [ 17 ] [ 18 ] 18 [ 1 ] [ 2 ] [ 13 ] [ 19 ] 19 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ] [ 26 ] [ 27 ] [ 28 ] [ 29 ] [ 30 ] [ 31 ] [ 33 ] [ 34 ] [ 35 ] 20 [ 28 ] 21 [ 28 ] 22 [ 36 ] 23 [ 23 ] [ 24 ] 24 [ 36 ] 25 [ 27 ] [ 28 ] [ 29 ] [ 30 ] [ 31 ] [ 35 ] 26 [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 27 ] [ 28 ] [ 29 ] [ 30 ] [ 31 ] [ 35 ] 27 [ 30 ] 28 [ 38 ] 29 [ 7 ] 30 [ 33 ] [ 34 ] 31 [ 15 ] 32 [ 38 ] 33 [ 5 ] ![]() ©2005 Association for Computing Machinery |