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Matthias Schubert
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2024
- [j10]Zhuang Liu
, Yunpu Ma
, Matthias Schubert
, Yuanxin Ouyang
, Wenge Rong
, Zhang Xiong:
Multimodal Contrastive Transformer for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11(2): 2632-2643 (2024) - [c92]Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. SDM 2024: 869-877 - [c91]Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert:
What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. WACV 2024: 957-966 - [i23]Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. CoRR abs/2401.05969 (2024) - [i22]Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. CoRR abs/2404.10646 (2024) - [i21]David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. CoRR abs/2404.10683 (2024) - [i20]Lukas Rottkamp, Matthias Schubert:
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations. CoRR abs/2404.12240 (2024) - [i19]Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. CoRR abs/2404.18583 (2024) - 2023
- [c90]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI 2023: 1188-1195 - [c89]David Winkel
, Niklas Strauß
, Matthias Schubert
, Thomas Seidl
:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. ECAI 2023: 2655-2662 - [c88]Alessandro Giovagnoli
, Volker Tresp
, Yunpu Ma
, Matthias Schubert
:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion 2023: 647-650 - [c87]Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. ICCV 2023: 16791-16800 - [c86]Christian Mollière, Julia Gottfriedsen, Martin Langer, Patricio Massaro, Christian Soraruf, Matthias Schubert:
Multi-Spectral Super-Resolution of Thermal Infrared Data Products for Urban Heat Applications. IGARSS 2023: 4919-4922 - [c85]David Winkel
, Niklas Strauß
, Matthias Schubert
, Yunpu Ma
, Thomas Seidl
:
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD (2) 2023: 373-385 - [c84]Lukas Rottkamp
, Niklas Strauß
, Matthias Schubert
:
DEAR: Dynamic Electric Ambulance Redeployment. SSTD 2023: 11-20 - [i18]Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. CoRR abs/2303.17859 (2023) - [i17]Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl:
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. CoRR abs/2305.17096 (2023) - 2022
- [c83]Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer:
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31 - [c82]Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. EMNLP (Findings) 2022: 4789-4799 - [c81]Lukas Rottkamp, Matthias Schubert, Niklas Strauß:
Efficient on-street parking sensor placement. IWCTS@SIGSPATIAL 2022: 13:1-13:8 - [c80]Maximilian Bernhard, Matthias Schubert:
Robust object detection in remote sensing imagery with noisy and sparse geo-annotations. SIGSPATIAL/GIS 2022: 25:1-25:4 - [c79]Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) 2022: 1-8 - [c78]Zhuang Liu
, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong:
Multi-Modal Contrastive Pre-training for Recommendation. ICMR 2022: 99-108 - [c77]David Winkel
, Niklas Strauß
, Matthias Schubert
, Thomas Seidl
:
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD (6) 2022: 185-200 - [c76]Niklas Strauß
, David Winkel
, Max Berrendorf
, Matthias Schubert
:
Reinforcement Learning for Multi-Agent Stochastic Resource Collection. ECML/PKDD (4) 2022: 200-215 - [c75]Christian M. M. Frey
, Yunpu Ma
, Matthias Schubert
:
SEA: Graph Shell Attention in Graph Neural Networks. ECML/PKDD (2) 2022: 326-343 - [i16]Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert:
Box Supervised Video Segmentation Proposal Network. CoRR abs/2202.07025 (2022) - [i15]Christian M. M. Frey, Matthias Schubert:
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. CoRR abs/2208.01735 (2022) - [i14]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. CoRR abs/2208.10547 (2022) - [i13]Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. CoRR abs/2210.06101 (2022) - [i12]Maximilian Bernhard, Matthias Schubert:
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version). CoRR abs/2210.12989 (2022) - 2021
- [j9]Maximilian Bernhard, Matthias Schubert
:
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications. Remote. Sens. 13(24): 4962 (2021) - [c74]Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll
, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. MDM 2021: 115-120 - [i11]Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. CoRR abs/2110.10674 (2021) - [i10]Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. CoRR abs/2110.14284 (2021) - [i9]Jason Jooste, Michael Fromm, Matthias Schubert:
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. CoRR abs/2111.11388 (2021) - 2020
- [j8]Jakaria Rabbi
, Nilanjan Ray
, Matthias Schubert
, Subir Chowdhury
, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. Remote. Sens. 12(9): 1432 (2020) - [c73]Lukas Rottkamp, Matthias Schubert:
Quantifying the potential of data-driven mobility support systems. IWCTS@SIGSPATIAL 2020: 2:1-2:10 - [c72]Sebastian Schmoll
, Matthias Schubert:
Semi-Markov Reinforcement Learning for Stochastic Resource Collection. IJCAI 2020: 3349-3355 - [c71]Sabrina Friedl, Sebastian Schmoll
, Felix Borutta, Matthias Schubert:
SMART-Env. MDM 2020: 234-235 - [c70]Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert:
Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions. WI/IAT 2020: 25-32 - [i8]Diana Davletshina, Valentyn Melnychuk
, Viet Tran
, Hitansh Singla, Max Berrendorf
, Evgeniy Faerman, Michael Fromm, Matthias Schubert:
Unsupervised Anomaly Detection for X-Ray Images. CoRR abs/2001.10883 (2020) - [i7]Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. CoRR abs/2003.09085 (2020) - [i6]Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl:
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. CoRR abs/2009.12875 (2020)
2010 – 2019
- 2019
- [j7]Michael Fromm
, Matthias Schubert, Guillermo Castilla
, Julia Linke, Gregory J. McDermid:
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks. Remote. Sens. 11(21): 2585 (2019) - [c69]Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel
, Max Berrendorf
, Michael Fromm, Matthias Schubert:
Spatial Interpolation with Message Passing Framework. ICDM Workshops 2019: 135-141 - [c68]Michael Fromm, Max Berrendorf
, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert:
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops 2019: 142-148 - [c67]Sebastian Schmoll
, Sabrina Friedl, Matthias Schubert:
Scaling the Dynamic Resource Routing Problem. SSTD 2019: 80-89 - [c66]Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert:
Structural Graph Representations based on Multiscale Local Network Topologies. WI 2019: 91-98 - [i5]Teodora Pandeva, Matthias Schubert:
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions. CoRR abs/1911.06663 (2019) - 2018
- [j6]Camila F. Costa
, Mario A. Nascimento, Matthias Schubert:
Diverse nearest neighbors queries using linear skylines. GeoInformatica 22(4): 815-844 (2018) - [c65]Sebastian Schmoll
, Matthias Schubert:
Dynamic Resource Routing using Real-Time Information. EDBT 2018: 501-504 - [c64]Sebastian Schmoll
, Matthias Schubert:
Vision paper: reinforcement learning in smart spatio-temporal environments. SIGSPATIAL/GIS 2018: 81-84 - [c63]Lukas Rottkamp, Matthias Schubert:
A time-inhomogeneous Markov model for resource availability under sparse observations. SIGSPATIAL/GIS 2018: 460-463 - [c62]Sebastian Schmoll
, Matthias Schubert:
Dynamic Resource Routing using Real-Time Dynamic Programming. IJCAI 2018: 4822-4828 - [c61]Marawan Shalaby, Jan Stutzki, Matthias Schubert, Stephan Günnemann:
An LSTM Approach to Patent Classification based on Fixed Hierarchy Vectors. SDM 2018: 495-503 - [r2]Hans-Peter Kriegel, Matthias Schubert:
KDD Pipeline. Encyclopedia of Database Systems (2nd ed.) 2018 - [i4]Evgheniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert:
Semi-Supervised Learning on Graphs Based on Local Label Distributions. CoRR abs/1802.05563 (2018) - 2017
- [j5]Gregor Jossé
, Klaus Arthur Schmid, Andreas Züfle, Georgios Skoumas, Matthias Schubert, Matthias Renz, Dieter Pfoser, Mario A. Nascimento:
Knowledge extraction from crowdsourced data for the enrichment of road networks. GeoInformatica 21(4): 763-795 (2017) - [c60]Ying Lu, Gregor Jossé, Tobias Emrich, Ugur Demiryurek, Matthias Renz, Cyrus Shahabi, Matthias Schubert:
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem. CIKM 2017: 487-496 - [c59]Ilkcan Keles
, Matthias Schubert, Peer Kröger, Simonas Saltenis
, Christian S. Jensen
:
Extracting visited points of interest from vehicle trajectories. GeoRich@SIGMOD 2017: 2:1-2:6 - [c58]Erik Seglem, Andreas Züfle, Jan Stutzki, Felix Borutta, Evgheniy Faerman, Matthias Schubert:
On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data. SSTD 2017: 43-61 - 2016
- [c57]Jan Stutzki, Matthias Schubert:
Geodata supported classification of patent applications. GeoRich@SIGMOD 2016: 4:1-4:6 - [i3]Gregor Jossé, Ying Lu, Tobias Emrich, Matthias Renz, Cyrus Shahabi, Ugur Demiryurek, Matthias Schubert:
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem. CoRR abs/1609.08484 (2016) - 2015
- [c56]Gregor Jossé, Klaus Arthur Schmid, Matthias Schubert:
Probabilistic Resource Route Queries with Reappearance. EDBT 2015: 445-456 - [c55]Michael Shekelyan
, Gregor Jossé, Matthias Schubert:
Linear path skylines in multicriteria networks. ICDE 2015: 459-470 - [c54]Michael Shekelyan
, Gregor Jossé, Matthias Schubert:
ParetoPrep: Efficient Lower Bounds for Path Skylines and Fast Path Computation. SSTD 2015: 40-58 - [c53]Georgios Skoumas, Klaus Arthur Schmid, Gregor Jossé, Matthias Schubert, Mario A. Nascimento, Andreas Züfle, Matthias Renz, Dieter Pfoser:
Knowledge-Enriched Route Computation. SSTD 2015: 157-176 - [c52]Gregor Jossé, Matthias Schubert, Ludwig Zellner:
EasyEV: Monitoring and Querying System for Electric Vehicle Fleets Using Smart Car Data. SSTD 2015: 497-502 - [c51]Gregor Jossé, Klaus Arthur Schmid, Andreas Züfle, Georgios Skoumas, Matthias Schubert, Dieter Pfoser:
Tourismo: A User-Preference Tourist Trip Search Engine. SSTD 2015: 514-519 - [c50]Michael Stockerl, Christoph Ringlstetter, Matthias Schubert, Eirini Ntoutsi, Hans-Peter Kriegel:
Online template matching over a stream of digitized documents. SSDBM 2015: 9:1-9:12 - 2014
- [c49]Michael Shekelyan
, Gregor Jossé, Matthias Schubert, Hans-Peter Kriegel:
Linear Path Skyline Computation in Bicriteria Networks. DASFAA (1) 2014: 173-187 - [c48]Anders Drachen
, Matthew Yancey, John Maguire, Derrek Chu, Iris Yuhui Wang, Tobias Mahlmann, Matthias Schubert, Diego Klabjan:
Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2). GEM 2014: 1-8 - [c47]Gregor Jossé, Matthias Schubert:
Towards resource route queries with reappearance. SIGSPATIAL PhD Workshop 2014: 4:1-4:5 - [i2]Michael Shekelyan, Gregor Jossé, Matthias Schubert:
ParetoPrep: Fast computation of Path Skylines Queries. CoRR abs/1410.0205 (2014) - 2013
- [c46]Anders Drachen
, Matthias Schubert:
Spatial game analytics and visualization. CIG 2013: 1-8 - [c45]Gregor Jossé, Matthias Schubert, Hans-Peter Kriegel:
Probabilistic parking queries using aging functions. SIGSPATIAL/GIS 2013: 442-445 - [c44]Tobias Emrich, Gregor Jossé, Hans-Peter Kriegel, Markus Mauder, Johannes Niedermayer, Matthias Renz, Matthias Schubert, Andreas Züfle:
Optimal Distance Bounds for the Mahalanobis Distance. SISAP 2013: 175-181 - [c43]Adrian Balteanu, Gregor Jossé, Matthias Schubert:
Mining Driving Preferences in Multi-cost Networks. SSTD 2013: 74-91 - [p1]Anders Drachen
, Matthias Schubert:
Spatial Game Analytics. Game Analytics, Maximizing the Value of Player Data 2013: 365-402 - 2012
- [j4]Hans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle:
Efficient Traffic Density Prediction in Road Networks Using Suffix Trees. Künstliche Intell. 26(3): 233-240 (2012) - [c42]Franz Graf, Robert Greil, Hans-Peter Kriegel, Matthias Schubert, Alexander Cavallaro:
Enhanced detection of the vertebrae in 2D CT-images. Medical Imaging: Image Processing 2012: 83142B - [c41]Matthias Schubert, Hans-Peter Kriegel:
Co-RCA: Unsupervised Distance-Learning for Multi-View Clustering. MultiClust@SDM 2012: 11-18 - 2011
- [c40]Matthias Schubert, Hans-Peter Kriegel:
LOCAR: local compression of alternative routes. GIS 2011: 441-444 - [c39]Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl
, Alexander Cavallaro:
2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI (2) 2011: 607-614 - [c38]Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Michael Strukelj, Alexander Cavallaro:
Fully automatic detection of the vertebrae in 2D CT images. Medical Imaging: Image Processing 2011: 79620C - [c37]Alexander Cavallaro, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Region of Interest Queries in CT Scans. SSTD 2011: 56-73 - [c36]Hans-Peter Kriegel, Matthias Schubert, Andreas Züfle:
Managing and Mining Multiplayer Online Games. SSTD 2011: 441-444 - [c35]Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
MARiO: Multi-Attribute Routing in Open Street Map. SSTD 2011: 486-490 - [d1]Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro:
Relative location of CT slices on axial axis. UCI Machine Learning Repository, 2011 - [i1]Franz Graf, Hans-Peter Kriegel, Matthias Schubert:
Maximum Gain Round Trips with Cost Constraints. CoRR abs/1105.0830 (2011) - 2010
- [j3]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Matthias Schubert:
Metric spaces in data mining: applications to clustering. ACM SIGSPATIAL Special 2(2): 36-39 (2010) - [c34]Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
On the impact of flash SSDs on spatial indexing. DaMoN 2010: 3-8 - [c33]Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
Memory-efficient A*-search using sparse embeddings. GIS 2010: 462-465 - [c32]Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
Route skyline queries: A multi-preference path planning approach. ICDE 2010: 261-272 - [c31]Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma, Alexander Cavallaro:
CT slice localization via instance-based regression. Medical Imaging: Image Processing 2010: 762320 - [c30]Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
PAROS: pareto optimal route selection. SIGMOD Conference 2010: 1199-1202 - [c29]Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning. SSDBM 2010: 501-518 - [c28]Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Similarity Estimation Using Bayes Ensembles. SSDBM 2010: 537-554
2000 – 2009
- 2009
- [r1]Hans-Peter Kriegel, Matthias Schubert:
KDD Pipeline. Encyclopedia of Database Systems 2009: 1586-1587 - 2008
- [c27]Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
MUSE: Multi-Represented Similarity Estimation. ICDE 2008: 1340-1342 - [c26]Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek
:
Angle-based outlier detection in high-dimensional data. KDD 2008: 444-452 - [c25]Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Distribution-Based Similarity for Multi-represented Multimedia Objects. MMM 2008: 155-164 - [c24]Hans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle:
Statistical Density Prediction in Traffic Networks. SDM 2008: 692-703 - 2007
- [j2]Hans-Peter Kriegel, Karsten M. Borgwardt
, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek
:
Future trends in data mining. Data Min. Knowl. Discov. 15(1): 87-97 (2007) - [c23]Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Indexing for Large Video Databases. BTW 2007: 132-151 - [c22]Christian Böhm, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. ICDE 2007: 1521-1522 - [c21]Johannes Aßfalg, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Multi-represented Classification Based on Confidence Estimation. PAKDD 2007: 23-34 - [c20]Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Querying Objects Modeled by Arbitrary Probability Distributions. SSTD 2007: 294-311 - 2006
- [j1]Elke Achtert, Christian Böhm, Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Renz, Matthias Schubert:
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken. Datenbank-Spektrum 19: 32-39 (2006) - [c19]Stefan Brecheisen, Hans-Peter Kriegel, Matthias Schubert, Michael Gruber:
VICO: Visualizing Connected Object Orderings. EDBT 2006: 1151-1154 - [c18]Christian Böhm, Alexey Pryakhin, Matthias Schubert:
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. ICDE 2006: 9 - [c17]Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek
:
COSMIC: Conceptually Specified Multi-Instance Clusters. ICDM 2006: 917-921 - [c16]Chris Loeser, Gunnar Schomaker, Matthias Schubert, Tim Schattkowsky:
Fairness Considerations in Replication and Placement Strategies for large Documents in heterogeneous Content Delivery Networks. ICN/ICONS/MCL 2006: 105 - [c15]Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
An EM-Approach for Clustering Multi-Instance Objects. PAKDD 2006: 139-148 - [c14]Elke Achtert, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects Using Combination Trees. PAKDD 2006: 174-178 - [c13]Hans-Peter Kriegel, Matthias Schubert:
Advanced Prototype Machines: Exploring Prototypes for Classification. SDM 2006: 176-187 - [c12]Christian Böhm, Alexey Pryakhin, Matthias Schubert:
Probabilistic Ranking Queries on Gaussians. SSDBM 2006: 169-178 - [c11]Hans-Peter Kriegel, Peer Kröger, Matthias Schubert, Ziyue Zhu:
Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations. SSDBM 2006: 184-190 - 2005
- [c10]Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Multi-represented kNN-Classification for Large Class Sets. DASFAA 2005: 511-522 - [c9]Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing. ICDM 2005: 178-185 - [c8]Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Distributed Model-Based Clustering. ICDM 2005: 258-265 - 2004
- [b1]Matthias Schubert:
Advanced data mining techniques for compound objects. Ludwig Maximilian University of Munich, Germany, 2004, pp. 1-256 - [c7]Hans-Peter Kriegel, Matthias Schubert:
Classification of Websites as Sets of Feature Vectors. Databases and Applications 2004: 127-132 - [c6]Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects with Noise. PAKDD 2004: 394-403 - [c5]Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. SDM 2004: 102-113 - [c4]Martin Ester, Hans-Peter Kriegel, Matthias Schubert:
Accurate and Efficient Crawling for Relevant Websites. VLDB 2004: 396-407 - 2003
- [c3]Hans-Peter Kriegel, Stefan Brecheisen, Peer Kröger, Martin Pfeifle, Matthias Schubert:
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects. SIGMOD Conference 2003: 587-598 - 2002
- [c2]Martin Ester, Hans-Peter Kriegel, Matthias Schubert:
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. KDD 2002: 249-258 - 2000
- [c1]Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel, Matthias Schubert:
Efficient Similarity Search in Digital Libraries. ADL 2000: 193-199
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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last updated on 2024-07-05 21:05 CEST by the dblp team
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