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Thomas Seidl: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Seidl, Hans-Peter Kriegel
    Efficient User-Adaptable Similarity Search in Large Multimedia Databases. [Citation Graph (11, 21)][DBLP]
    VLDB, 1997, pp:506-515 [Conf]
  2. Thomas Seidl, Hans-Peter Kriegel
    Optimal Multi-Step k-Nearest Neighbor Search. [Citation Graph (8, 24)][DBLP]
    SIGMOD Conference, 1998, pp:154-165 [Conf]
  3. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Supporting Data Mining of Large Databases by Visual Feedback Queries. [Citation Graph (6, 8)][DBLP]
    ICDE, 1994, pp:302-313 [Conf]
  4. Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Fast Nearest Neighbor Search in High-Dimensional Space. [Citation Graph (5, 14)][DBLP]
    ICDE, 1998, pp:209-218 [Conf]
  5. Hans-Peter Kriegel, Thomas Schmidt, Thomas Seidl
    3D Similarity Search by Shape Approximation. [Citation Graph (4, 0)][DBLP]
    SSD, 1997, pp:11-28 [Conf]
  6. Mihael Ankerst, Bernhard Braunmüller, Hans-Peter Kriegel, Thomas Seidl
    Improving Adaptable Similarity Query Processing by Using Approximations. [Citation Graph (2, 23)][DBLP]
    VLDB, 1998, pp:206-217 [Conf]
  7. Hans-Peter Kriegel, Thomas Seidl
    Approximation-Based Similarity Search for 3-D Surface Segments. [Citation Graph (2, 0)][DBLP]
    GeoInformatica, 1998, v:2, n:2, pp:113-147 [Journal]
  8. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Matthias Renz, Thomas Seidl
    Spatial Data Management for Virtual Product Development. [Citation Graph (0, 0)][DBLP]
    Computer Science in Perspective, 2003, pp:216-230 [Conf]
  9. Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze
    Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. [Citation Graph (0, 0)][DBLP]
    BTW, 2005, pp:67-86 [Conf]
  10. Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu
    Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. [Citation Graph (0, 0)][DBLP]
    BTW, 1995, pp:373-382 [Conf]
  11. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
    The Paradigm of Relational Indexing: a Survey. [Citation Graph (0, 0)][DBLP]
    BTW, 2003, pp:285-304 [Conf]
  12. M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl
    CVDB 2004 Panel: Future Applications and Solutions. [Citation Graph (0, 0)][DBLP]
    CVDB, 2004, pp:67-68 [Conf]
  13. Thomas Seidl
    Nearest Neighbor Search on Multimedia Indexing Structures. [Citation Graph (0, 0)][DBLP]
    CVDB, 2004, pp:2- [Conf]
  14. Thomas Seidl, Hans-Peter Kriegel
    Adaptable Similarity Search in Large Image Databases. [Citation Graph (0, 0)][DBLP]
    State-of-the-Art in Content-Based Image and Video Retrieval, 1999, pp:297-317 [Conf]
  15. Hans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl
    Effective Similarity Search on Voxelized CAD Object. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2003, pp:27-0 [Conf]
  16. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
    Spatial Query Processing for High Resolutions. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2003, pp:17-26 [Conf]
  17. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
    A Cost Model for Spatial Intersection Queries on RI-Trees. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2004, pp:331-338 [Conf]
  18. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
    Adaptable Similarity Search Using Vector Quantization. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2001, pp:317-327 [Conf]
  19. Christoph Brochhaus, Marc Wichterich, Thomas Seidl
    Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. [Citation Graph (0, 0)][DBLP]
    EDBT, 2006, pp:204-221 [Conf]
  20. Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl
    Efficient Similarity Search for Hierarchical Data in Large Databases. [Citation Graph (0, 0)][DBLP]
    EDBT, 2004, pp:676-693 [Conf]
  21. Thomas Seidl, Gabi Kastenmüller, Hans-Peter Kriegel
    Similarity Search in 3D Protein Databases. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1998, pp:- [Conf]
  22. Ira Assent, Andrea Wenning, Thomas Seidl
    Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:11- [Conf]
  23. Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl
    Efficient Similarity Search in Large Databases of Tree Structured Objects. [Citation Graph (0, 0)][DBLP]
    ICDE, 2004, pp:835-836 [Conf]
  24. Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl
    DIVE: Database Integration for Virtual Engineering. [Citation Graph (0, 0)][DBLP]
    ICDE Demo Sessions, 2001, pp:15-16 [Conf]
  25. Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl
    Spatial Multidimensional Sequence Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:343-348 [Conf]
  26. Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl
    Nearest Neighbor Classification in 3D Protein Databases. [Citation Graph (0, 0)][DBLP]
    ISMB, 1999, pp:34-43 [Conf]
  27. Thomas Seidl, Hans-Peter Kriegel
    Solvent Accessible Surface Representation in a Database System for Protein Docking. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:350-358 [Conf]
  28. Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl
    CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:736-742 [Conf]
  29. Jost Enderle, Matthias Hampel, Thomas Seidl
    Joining Interval Data in Relational Databases. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:683-694 [Conf]
  30. Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl
    Spatial Data Management for Computer Aided Design. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2001, pp:614- [Conf]
  31. Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl
    3D Shape Histograms for Similarity Search and Classification in Spatial Databases. [Citation Graph (0, 0)][DBLP]
    SSD, 1999, pp:207-226 [Conf]
  32. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
    Interval Sequences: An Object-Relational Approach to Manage Spatial Data. [Citation Graph (0, 0)][DBLP]
    SSTD, 2001, pp:481-501 [Conf]
  33. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
    Object-Relational Indexing for General Interval Relationships. [Citation Graph (0, 0)][DBLP]
    SSTD, 2001, pp:522-542 [Conf]
  34. Thomas Seidl, Hans-Peter Kriegel
    A 3D Molecular Surface Representation Supporting Neighborhood Queries. [Citation Graph (0, 0)][DBLP]
    SSD, 1995, pp:240-258 [Conf]
  35. Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
    A Cost Model for Interval Intersection Queries on RI-Trees. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2002, pp:131-141 [Conf]
  36. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Visual Feedback in Querying Large Databases. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1993, pp:158-165 [Conf]
  37. Jost Enderle, Nicole Schneider, Thomas Seidl
    Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. [Citation Graph (0, 0)][DBLP]
    VLDB, 2005, pp:385-396 [Conf]
  38. Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
    Managing Intervals Efficiently in Object-Relational Databases. [Citation Graph (0, 0)][DBLP]
    VLDB, 2000, pp:407-418 [Conf]
  39. Ira Assent, Marc Wichterich, Thomas Seidl
    Adaptable Distance Functions for Similarity-based Multimedia Retrieval. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2006, v:19, n:, pp:23-31 [Journal]
  40. Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl
    Clicks: An effective algorithm for mining subspace clusters in categorical datasets. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2007, v:60, n:1, pp:51-70 [Journal]
  41. Thomas Seidl
    Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). [Citation Graph (0, 0)][DBLP]
    Datenbank Rundbrief, 1998, v:21, n:, pp:96- [Journal]
  42. Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze
    Efficient interval management using object-relational database servers. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 2005, v:20, n:3, pp:121-137 [Journal]
  43. Rolf Backofen, François Bry, Peter Clote, Hans-Peter Kriegel, Thomas Seidl, Klaus U. Schulz
    Bioinformatik - Aktuelles Schlagwort. [Citation Graph (0, 0)][DBLP]
    Informatik Spektrum, 1999, v:22, n:5, pp:376-378 [Journal]
  44. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
    Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:19, n:2, pp:207-230 [Journal]
  45. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2000, v:12, n:1, pp:45-0 [Journal]
  46. Mihael Ankerst, Hans-Peter Kriegel, Thomas Seidl
    A Multistep Approach for Shape Similarity Search in Image Databases. [Citation Graph (0, 22)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1998, v:10, n:6, pp:996-1004 [Journal]
  47. Ira Assent, Ralph Krieger, Thomas Seidl
    AttentionAttractor: efficient video stream similarity query processing in real time. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:1509-1510 [Conf]
  48. Christoph Brochhaus, Thomas Seidl
    Efficient Index Support for View-Dependent Queries on CFD Data. [Citation Graph (0, 0)][DBLP]
    SSTD, 2007, pp:57-74 [Conf]
  49. Christoph Brochhaus, Thomas Seidl
    IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. [Citation Graph (0, 0)][DBLP]
    VLDB, 2007, pp:1354-1357 [Conf]

  50. High-Dimensional Indexing for Multimedia Features. [Citation Graph (, )][DBLP]


  51. Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. [Citation Graph (, )][DBLP]


  52. EDSC: efficient density-based subspace clustering. [Citation Graph (, )][DBLP]


  53. Detection of orthogonal concepts in subspaces of high dimensional data. [Citation Graph (, )][DBLP]


  54. Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. [Citation Graph (, )][DBLP]


  55. Signature Quadratic Form Distance. [Citation Graph (, )][DBLP]


  56. Subspace outlier mining in large multimedia databases. [Citation Graph (, )][DBLP]


  57. Efficient multi-step query processing for EMD-based similarity. [Citation Graph (, )][DBLP]


  58. Speeding Up Complex Video Copy Detection Queries. [Citation Graph (, )][DBLP]


  59. Air-Indexing on Error Prone Communication Channels. [Citation Graph (, )][DBLP]


  60. The TS-tree: efficient time series search and retrieval. [Citation Graph (, )][DBLP]


  61. Type-based categorization of relational attributes. [Citation Graph (, )][DBLP]


  62. Indexing density models for incremental learning and anytime classification on data streams. [Citation Graph (, )][DBLP]


  63. Pattern detector: fast detection of suspicious stream patterns for immediate reaction. [Citation Graph (, )][DBLP]


  64. Efficient similarity search using the Earth Mover's Distance for large multimedia databases. [Citation Graph (, )][DBLP]


  65. OutRank: ranking outliers in high dimensional data. [Citation Graph (, )][DBLP]


  66. Ranking multimedia databases via relevance feedback with history and foresight support. [Citation Graph (, )][DBLP]


  67. DUSC: Dimensionality Unbiased Subspace Clustering. [Citation Graph (, )][DBLP]


  68. INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. [Citation Graph (, )][DBLP]


  69. Self-Adaptive Anytime Stream Clustering. [Citation Graph (, )][DBLP]


  70. Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. [Citation Graph (, )][DBLP]


  71. A comparative study of similarity measures for content-based multimedia retrieval. [Citation Graph (, )][DBLP]


  72. Visual speaker model exploration. [Citation Graph (, )][DBLP]


  73. Morpheus: interactive exploration of subspace clustering. [Citation Graph (, )][DBLP]


  74. EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. [Citation Graph (, )][DBLP]


  75. Mobile Mining and Information Management in HealthNet Scenarios. [Citation Graph (, )][DBLP]


  76. Signature quadratic form distances for content-based similarity. [Citation Graph (, )][DBLP]


  77. SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. [Citation Graph (, )][DBLP]


  78. Subgraph Mining on Directed and Weighted Graphs. [Citation Graph (, )][DBLP]


  79. Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. [Citation Graph (, )][DBLP]


  80. Pleiades: Subspace Clustering and Evaluation. [Citation Graph (, )][DBLP]


  81. Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. [Citation Graph (, )][DBLP]


  82. SOREX: Subspace Outlier Ranking Exploration Toolkit. [Citation Graph (, )][DBLP]


  83. Subspace Clustering for Uncertain Data. [Citation Graph (, )][DBLP]


  84. DensEst: Density Estimation for Data Mining in High Dimensional Spaces. [Citation Graph (, )][DBLP]


  85. Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. [Citation Graph (, )][DBLP]


  86. IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. [Citation Graph (, )][DBLP]


  87. HSM: Heterogeneous Subspace Mining in High Dimensional Data. [Citation Graph (, )][DBLP]


  88. MC-Tree: Improving Bayesian Anytime Classification. [Citation Graph (, )][DBLP]


  89. Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. [Citation Graph (, )][DBLP]


  90. Harnessing the strengths of anytime algorithms for constant data streams. [Citation Graph (, )][DBLP]


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