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Note: Links lead to the DBLP on the Web. Alexey Pryakhin Johannes Aßfalg , Hans-Peter Kriegel , Peer Kröger , Peter Kunath , Alexey Pryakhin, Matthias Renz : Semi-Supervised Threshold Queries on Pharmacogenomics Time Sequences. APBC 2006 : 307-316 Johannes Aßfalg , Hans-Peter Kriegel , Peer Kröger , Peter Kunath , Alexey Pryakhin, Matthias Renz : TQuEST: Threshold Query Execution for Large Sets of Time Series. EDBT 2006 : 1147-1150 Stefan Brecheisen , Hans-Peter Kriegel , Peter Kunath , Alexey Pryakhin, Florian Vorberger : MUSCLE: Music Classification Engine with User Feedback. EDBT 2006 : 1164-1167 Johannes Aßfalg , Hans-Peter Kriegel , Peer Kröger , Peter Kunath , Alexey Pryakhin, Matthias Renz : Similarity Search on Time Series Based on Threshold Queries. EDBT 2006 : 276-294 Johannes Aßfalg , Hans-Peter Kriegel , Peer Kröger , Peter Kunath , Alexey Pryakhin, Matthias Renz : Threshold Similarity Queries in Large Time Series Databases. ICDE 2006 : 149 Christian Böhm , Alexey Pryakhin, Matthias Schubert : The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. ICDE 2006 : 9 Hans-Peter Kriegel , Alexey Pryakhin, Matthias Schubert : An EM-Approach for Clustering Multi-Instance Objects. PAKDD 2006 : 139-148 Elke Achtert , Hans-Peter Kriegel , Alexey Pryakhin, Matthias Schubert : Clustering Multi-represented Objects Using Combination Trees. PAKDD 2006 : 174-178 Hans-Peter Kriegel , Alexey Pryakhin, Matthias Schubert : Multi-represented k NN-Classification for Large Class Sets. DASFAA 2005 : 511-522 Hans-Peter Kriegel , Peer Kröger , Alexey Pryakhin, Matthias Schubert : Effective and Efficient Distributed Model-Based Clustering. ICDM 2005 : 258-265 Karin Kailing , Hans-Peter Kriegel , Alexey Pryakhin, Matthias Schubert : Clustering Multi-represented Objects with Noise. PAKDD 2004 : 394-403 Hans-Peter Kriegel , Peer Kröger , Alexey Pryakhin, Matthias Schubert : Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. SDM 2004 1 [ 5 ] 2 [ 8 ] [ 9 ] [ 11 ] [ 12 ] 3 [ 7 ] 4 [ 10 ] 5 [ 2 ] 6 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] 7 [ 1 ] [ 3 ] [ 8 ] [ 9 ] [ 11 ] [ 12 ] 8 [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] 9 [ 8 ] [ 9 ] [ 11 ] [ 12 ] 10 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] 11 [ 10 ]  ©2006 Association for Computing Machinery |
