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Thomas Seidl

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ObjectID : Author/1287852
Thomas Seidl
(Publications: 105)
(Citation Count: 702)
(G-Index: 25)
(H-Index: 13)
HomePage
Germany
University of Munich, Institute for Computer Science
Permanent Link: http://academic.research.microsoft.com/Author/1287852.aspx
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The rank of a paper is calculated by considering the authors, the published conference or journal, and its citation graph. The highest ranking result will appear first.                   Learn more
Year 2009
Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian :
Type-based categorization of relational attributes
, EDBT
, 2009
(Citations: 1)
Marwan Hassani, Emmanuel Müller, Thomas Seidl :
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers
, KDD
, 2009
Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl :
Self-Adaptive Anytime Stream Clustering
, ICDM
, 2009
Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann :
Indexing density models for incremental learning and anytime classification on data streams
, EDBT
, 2009
Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl :
Detection of orthogonal concepts in subspaces of high dimensional data
, CIKM
, 2009
Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl :
Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance
, CIKM
, 2009
Philipp Kranen, Thomas Seidl :
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
, PKDD
, 2009
Christian Beecks, Merih Seran Uysal, Thomas Seidl :
Signature quadratic form distances for content-based similarity
, MM
, 2009
Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl :
DensEst: Density Estimation for Data Mining in High Dimensional Spaces
, SDM
, 2009
Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl :
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data
, ICDM
, 2009
Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl :
High-Dimensional Indexing for Multimedia Features
, BTW
, 2009
Ira Assent, Marc Wichterich, Ralph Krieger, Hardy Kremer, Thomas Seidl :
Anticipatory DTW for Efficient Similarity Search in Time Series Databases
, 2009
Christian Beecks, Marc Wichterich, Thomas Seidl :
Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken
, BTW
, 2009
Emmanuel Müller, Ira Assent, Thomas Seidl :
HSM: Heterogeneous Subspace Mining in High Dimensional Data
, SSDBM
, 2009
Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl :
Evaluating Clustering in Subspace Projections of High Dimensional Data
, 2009
Thomas Seidl :
k-Nearest Neighbor Classification
, 2009
Year 2008
Ira Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl :
Efficient similarity search using the Earth Mover's Distance for large multimedia databases
, ICDE
, 2008
(Citations: 1)
Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt :
Mobile Mining and Information Management in HealthNet Scenarios
, MDM
, 2008
(Citations: 1)
David Ruau, Corinna Kolárik, Heinz-theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-apitius, Martin Zenke :
Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation
, BMC Bioinformatics
, 2008
Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl :
Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction
, SIGMOD
, 2008
Thomas Martin Deserno, Mark Oliver Güld, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Henning Schubert, Hermann Ney, Thomas Seidl :
Extended Query Refinement for Medical Image Retrieval
, Journal of Digital Imaging
, 2008
Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl :
The TS-tree: efficient time series search and retrieval
, EDBT
, 2008
Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl :
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters
, PAKDD
, 2008
Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl :
Morpheus: interactive exploration of subspace clustering
, KDD
, 2008
Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl :
OutRank: ranking outliers in high dimensional data
, ICDE
, 2008
Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl :
Pleiades: Subspace Clustering and Evaluation
, PKDD
, 2008
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl :
Clustering multidimensional sequences in spatial and temporal databases
, KAIS
, 2008
Marc Wichterich, Christian Beecks, Thomas Seidl :
Ranking multimedia databases via relevance feedback with history and foresight support
, ICDE
, 2008
Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl :
EDSC: efficient density-based subspace clustering
, CIKM
, 2008
Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl :
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy
, ICDM
, 2008
Christoph Brochhaus, Thomas Seidl :
IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS
, SSDBM
, 2008
Thomas Seidl, Jost Enderle :
Binäre Suche
, 2008
Year 2007
Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl :
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
, DKE
, 2007
(Citations: 2)
Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl :
VISA: visual subspace clustering analysis
, SIGKDD Explorations
, 2007
(Citations: 1)
Christoph Brochhaus, Thomas Seidl :
Efficient Index Support for View-Dependent Queries on CFD Data
, SSD
, 2007
(Citations: 1)
Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl :
DUSC: Dimensionality Unbiased Subspace Clustering
, ICDM
, 2007
(Citations: 1)
Christoph Brochhaus, Thomas Seidl :
IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing
, VLDB
, 2007
Ira Assent, Ralph Krieger, Thomas Seidl :
AttentionAttractor: efficient video stream similarity query processing in real time
, ICDE
, 2007
Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl :
Subspace outlier mining in large multimedia databases
, Dagstuhl Seminars
, 2007
Year 2006
Ira Assent, Andrea Wenning, Thomas Seidl :
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
, ICDE
, 2006
(Citations: 7)
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl :
Spatial Multidimensional Sequence Clustering
, ICDM
, 2006
(Citations: 2)
Christoph Brochhaus, Marc Wichterich, Thomas Seidl :
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
, EDBT
, 2006
Ira Assent, Marc Wichterich, Thomas Seidl :
Adaptable Distance Functions for Similarity-based Multimedia Retrieval
, DBSK
, 2006
Ira Assent, Thomas Seidl :
Efficient multi-step query processing for EMD-based similarity
, Dagstuhl Seminars
, 2006
Year 2005
Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl :
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
, KDD
, 2005
(Citations: 1)
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl, Jost Enderle :
Object-Relational Spatial Indexing
, 2005
(Citations: 1)
Jost Enderle, Nicole Schneider, Thomas Seidl :
Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases
, VLDB
, 2005
(Citations: 1)
Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze :
Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server
, BTW
, 2005
Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze :
Efficient interval management using object-relational database servers
, IFE
, 2005
Year 2004
Karin Kailing, Hans-peter Kriegel, Stefan Schönauer, Thomas Seidl :
Efficient Similarity Search for Hierarchical Data in Large Databases
, EDBT
, 2004
(Citations: 17)
Jost Enderle, Matthias Hampel, Thomas Seidl :
Joining Interval Data in Relational Databases
, SIGMOD
, 2004
(Citations: 10)
H. P Kriegel, M Pfeifle, M P?tke, T Seidl, J Enderle :
Object-Relational Spatial Indexing
, 2004
(Citations: 1)
M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl :
CVDB 2004 Panel: Future Applications and Solutions
, Computer Vision meets Databases
, 2004
M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl :
Future applications and solutions
, AICPS
, 2004
Karin Kailing, Hans-peter Kriegel, Stefan Schönauer, Thomas Seidl :
Efficient Similarity Search in Large Databases of Tree Structured Objects
, ICDE
, 2004
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl :
A Cost Model for Spatial Intersection Queries on RI-Trees
, DASFAA
, 2004
Thomas Seidl :
Nearest Neighbor Search on Multimedia Indexing Structures
, Computer Vision meets Databases
, 2004
Year 2003
Hans-peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl :
Effective Similarity Search on Voxelized CAD Object
, DASFAA
, 2003
(Citations: 9)
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl :
The Paradigm of Relational Indexing: a Survey
, BTW
, 2003
(Citations: 3)
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl :
Spatial Query Processing for High Resolutions
, DASFAA
, 2003
(Citations: 3)
H. P Kriegel, M Pfeifle, M P?tke, T Seidl :
A Cost Model for Interval Sequence Intersection Queries on RI-Trees
, 2003
(Citations: 1)
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Matthias Renz, Thomas Seidl :
Spatial Data Management for Virtual Product Development
, Birthday ...
, 2003
Year 2002
Hans-peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl :
A Cost Model for Interval Intersection Queries on RI-Trees
, SSDBM
, 2002
(Citations: 6)
Christian Böhm, Hans-peter Kriegel, Thomas Seidl :
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
, JIIS
, 2002
(Citations: 1)
Year 2001
Hans-peter Kriegel, Marco Pötke, Thomas Seidl :
Interval Sequences: An Object-Relational Approach to Manage Spatial Data
, SSD
, 2001
(Citations: 11)
Hans-peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl :
Spatial Data Management for Computer Aided Design
, SIGMOD
, 2001
(Citations: 4)
Hans-peter Kriegel, Marco Pötke, Thomas Seidl :
Object-Relational Indexing for General Interval Relationships
, SSD
, 2001
(Citations: 3)
Christian Böhm, Hans-peter Kriegel, Thomas Seidl :
Adaptable Similarity Search Using Vector Quantization
, DaWaK
, 2001
(Citations: 1)
Hans-peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl :
DIVE: Database Integration for Virtual Engineering
, ICDE
, 2001
Year 2000
Hans-peter Kriegel, Marco Pötke, Thomas Seidl :
Managing Intervals Efficiently in Object-Relational Databases
, VLDB
, 2000
(Citations: 28)
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
, TKDE
, 2000
(Citations: 26)
Year 1999
Mihael Ankerst, Gabi Kastenmüller, Hans-peter Kriegel, Thomas Seidl :
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
, SSD
, 1999
(Citations: 40)
Mihael Ankerst, Gabi Kastenmüller, Hans-peter Kriegel, Thomas Seidl :
Nearest Neighbor Classification in 3D Protein Databases
, Intelligent Systems in Molecular Biology
, 1999
(Citations: 26)
Rolf Backofen, François Bry, Peter Clote, Hans-peter Kriegel, Thomas Seidl, Klaus U. Schulz :
Bioinformatik - Aktuelles Schlagwort
, INSK
, 1999
M. Ankerst, G. Kastenm???ller, H. P. Kriegel, T. Seidl :
Nearest neighbour classification in
, 1999
Thomas Seidl, Hans-peter Kriegel :
Adaptable Similarity Search in Large Image Databases
, Dagstuhl Seminars
, 1999
Year 1998
Thomas Seidl, Hans-peter Kriegel :
Optimal Multi-Step k-Nearest Neighbor Search
, SIGMOD
, 1998
(Citations: 161)
Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-peter Kriegel, Thomas Seidl :
Fast Nearest Neighbor Search in High-Dimensional Space
, ICDE
, 1998
(Citations: 61)
Hans-peter Kriegel, Thomas Seidl :
Approximation-Based Similarity Search for 3-D Surface Segments
, GEOINFORMATICA
, 1998
(Citations: 26)
Mihael Ankerst, Hans-peter Kriegel, Thomas Seidl :
A Multistep Approach for Shape Similarity Search in Image Databases
, TKDE
, 1998
(Citations: 19)
Mihael Ankerst, Bernhard Braunmüller, Hans-peter Kriegel, Thomas Seidl :
Improving Adaptable Similarity Query Processing by Using Approximations
, VLDB
, 1998
(Citations: 17)
Thomas Seidl, Gabi Kastenmüller, Hans-peter Kriegel :
Similarity Search in 3D Protein Databases
, GCB
, 1998
(Citations: 9)
Thomas Seidl :
Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract)
, GIDR
, 1998
Year 1997
Thomas Seidl, Hans-peter Kriegel :
Efficient User-Adaptable Similarity Search in Large Multimedia Databases
, VLDB
, 1997
(Citations: 97)
Hans-peter Kriegel, Thomas Schmidt, Thomas Seidl :
3D Similarity Search by Shape Approximation
, SSD
, 1997
(Citations: 15)
T Seidl :
Adaptable similarity search in 3-d spatial database systems
, 1997
(Citations: 11)
M. Ankerst, B. Vruanmller, H. P. Kriegel, T. Seidl :
Improving adaptable similarity query pro-cessing by using approximations
, 1997
(Citations: 2)
Year 1995
Thomas Seidl, Hans-peter Kriegel :
Solvent Accessible Surface Representation in a Database System for Protein Docking
, Intelligent Systems in Molecular Biology
, 1995
(Citations: 6)
Thomas Seidl, Hans-peter Kriegel :
A 3D Molecular Surface Representation Supporting Neighborhood Queries
, SSD
, 1995
(Citations: 4)
Thomas Seidl :
Shape-based Retrieval of Complementary 3D Surfaces from a Protein Database
, 1995
(Citations: 1)
Martin Ester, Hans-peter Kriegel, Thomas Seidl, Xiaowei Xu :
Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank
, BTW
, 1995
Year 1994
Daniel A. Keim, Hans-peter Kriegel, Thomas Seidl :
Supporting Data Mining of Large Databases by Visual Feedback Queries
, ICDE
, 1994
(Citations: 36)
Year 1993
Daniel A. Keim, Hans-peter Kriegel, Thomas Seidl :
Visual Feedback in Querying Large Databases
, IEEE Visualization
, 1993
(Citations: 12)
Year Unknown
Reinhard Hoffmann, Ludovica Bruno, Thomas Seidl, Antonius Rolink, Fritz Melchers :
Rules for Gene Usage Inferred from a Comparison of Large-Scale Gene Expression Profiles of T and B Lymphocyte Development
(Citations: 10)
M Ankerst, H. P Kriegel, T Seidl :
Pixel-based shape similarity search in large image databases
(Citations: 1)
Thomas M. Lehmann, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Hermann Ney, Thomas Seidl :
Extended Query Refinement for Content-Based Access to Large Medical Image Databases
(Citations: 2)
Christian Thies, Marcel Schmidt Borreda, Thomas Seidl, Thomas M. Lehmann :
A classiflcation framework for content-based extraction of biomedical objects from hierarchically decomposed images
(Citations: 1)
Thomas M. Lehmann, Daniel Beier, Christian Thies, Thomas Seidl :
Segmentation of medical images combining local regional global and hierarchical distances into a bottom-up region merging scheme
(Citations: 1)
Ludovica Bruno, Reinhard Hoffmann, Fraser Mcblane, John Brown, Rajeev Gupta, Chirag Joshi, Stella Pearson, Thomas Seidl, Clare Heyworth, Tariq Enver :
Molecular Signatures of Self-Renewal Differentiation and Lineage Choice in Multipotential Hemopoietic Progenitor Cells In Vitro
Hans-peter Kriegel, Thomas Schmidt, Thomas Seidl, Flexible Ellipsoidanfragen :
Biomolekulare Wechselwirkungenvon Proteinen ‐ Datenbankunterstützung für das Proteindocking
Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl, Rwth-aachen :
CLICKS: An effective algorithm for mining subspace clusters
Mihael Ankerst, Gabi Kastenmüller, Hans-peter Kriegel, Thomas Seidl :
Classification in Spatial Databases
Reinhard Hoffmann, Thomas Seidl, Ludovica Bruno, Martin Dugas :
Developmental markers of B cells are superior to those of T cells for identification of stages with distinct gene
Thomas M. Lehmann, Daniel Beier, Christian Thies, Thomas Seidl :
Segmentation of medical images combining local regional global and
Thomas Seidl, Hans-peter Kriegel :
Solvent Accessible Surface Representation in
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