受强制性开放获取政策约束的文章 - Thomas Seidl了解详情
无法在其他位置公开访问的文章：47 篇
Spectral subspace clustering for graphs with feature vectors
S Günnemann, I Färber, S Raubach, T Seidl
2013 IEEE 13th International Conference on Data Mining, 231-240, 2013
强制性开放获取政策： German Research Foundation
Adaptive outlierness for subspace outlier ranking
E Müller, M Schiffer, T Seidl
Proceedings of the 19th ACM international conference on Information and …, 2010
强制性开放获取政策： German Research Foundation
Phidj: Parallel similarity self-join for high-dimensional vector data with mapreduce
S Fries, B Boden, G Stepien, T Seidl
2014 IEEE 30th International Conference on Data Engineering, 796-807, 2014
强制性开放获取政策： German Research Foundation
Detection of orthogonal concepts in subspaces of high dimensional data
S Günnemann, E Müller, I Färber, T Seidl
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
强制性开放获取政策： German Research Foundation
EDSC: efficient density-based subspace clustering
I Assent, R Krieger, E Müller, T Seidl
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
强制性开放获取政策： German Research Foundation
Detecting change processes in dynamic networks by frequent graph evolution rule mining
E Scharwächter, E Müller, J Donges, M Hassani, T Seidl
2016 IEEE 16th International Conference on Data Mining (ICDM), 1191-1196, 2016
强制性开放获取政策： Federal Ministry of Education and Research, Germany
HSM: Heterogeneous subspace mining in high dimensional data
E Müller, I Assent, T Seidl
Scientific and Statistical Database Management: 21st International …, 2009
强制性开放获取政策： German Research Foundation
SOREX: Subspace Outlier Ranking Exploration Toolkit
E Müller, M Schiffer, P Gerwert, M Hannen, T Jansen, T Seidl
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
强制性开放获取政策： German Research Foundation
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform
B Boden, R Haag, T Seidl
Proceedings of the 22nd ACM international conference on Information …, 2013
强制性开放获取政策： German Research Foundation
Content-based exploration of multimedia databases
C Beecks, MS Uysal, P Driessen, T Seidl
2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2013
强制性开放获取政策： German Research Foundation
On efficient content-based near-duplicate video detection
MS Uysal, C Beecks, T Seidl
2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2015
强制性开放获取政策： German Research Foundation
Modeling multimedia contents through probabilistic feature signatures
C Beecks, AM Ivanescu, S Kirchhoff, T Seidl
Proceedings of the 19th ACM international conference on Multimedia, 1433-1436, 2011
强制性开放获取政策： German Research Foundation
Applying similarity search for the investigation of the fuel injection process
C Beecks, AM Ivanescu, T Seidl, D Martin, P Pischke, R Kneer
Proceedings of the Fourth International Conference on SImilarity Search and …, 2011
强制性开放获取政策： German Research Foundation
On comads and principal component analysis
D Kazempour, MAX Hünemörder, T Seidl
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Detecting global hyperparaboloid correlated clusters based on Hough transform
D Kazempour, M Mauder, P Kröger, T Seidl
Proceedings of the 29th International Conference on Scientific and …, 2017
强制性开放获取政策： German Research Foundation
Towards named-entity-based similarity measures: Challenges and opportunities
T De Nies, C Beecks, W De Neve, T Seidl, E Mannens, R Van de Walle
Proceedings of the 7th International Workshop on Exploiting Semantic …, 2014
强制性开放获取政策： Research Foundation (Flanders), German Research Foundation
Employing correlation clustering for the identification of piecewise affine models
AM Ivanescu, T Albin, D Abel, T Seidl
Proceedings of the 2011 workshop on Knowledge discovery, modeling and …, 2011
强制性开放获取政策： German Research Foundation
MORe++: k-Means Based Outlier Removal on High-Dimensional Data
A Beer, J Lauterbach, T Seidl
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Luck-linear correlation clustering using cluster algorithms and a knn based distance function
A Beer, D Kazempour, L Stephan, T Seidl
Proceedings of the 31st International Conference on Scientific and …, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Gradient-based signatures for big multimedia data
C Beecks, MS Uysal, T Seidl
2015 IEEE International Conference on Big Data (Big Data), 2834-2835, 2015
强制性开放获取政策： German Research Foundation
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