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ORCIDChristian Dietrich 0002
Person information
- affiliation (PhD 2003): University of Ulm, Germany
Other persons with the same name
- Christian Dietrich 0001
![[0000-0001-9258-0513]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9258-0513")
— TU Braunschweig, Germany (and 3 more) - Christian Dietrich 0003 — itemis, Stuttgart, Germany
- Christian Dietrich 0004 — University of Mannheim, Germany
- Christian Dietrich 0005 (aka: Christian J. Dietrich) — Friedrich-Alexander University, Department of Computer Science, Erlangen, Germany (and 1 more)
- Christian Dietrich 0006 — Wilkes University, Wilkes-Barre, PA, USA
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2000 – 2009
- 2004
[j3]Christian Dietrich, Günther Palm, Klaus Riede, Friedhelm Schwenker:
Classification of bioacoustic time series based on the combination of global and local decisions. Pattern Recognit. 37(12): 2293-2305 (2004)- 2003
- [b1]Christian R. Dietrich:
Temporal sensorfusion for the classification of bioacoustic time series. University of Ulm, Germany, 2003, pp. 1-186 - [j2]Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Klaus Riede, Günther Palm:
Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. Neurocomputing 51: 265-275 (2003) - [j1]Christian Dietrich, Günther Palm, Friedhelm Schwenker:
Decision templates for the classification of bioacoustic time series. Inf. Fusion 4(2): 101-109 (2003) - [c4]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Multiple Classifier Systems for the Recognition of Orthoptera Songs. DAGM-Symposium 2003: 474-481 - 2002
- [c3]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Decision templates for the classification of bioacoustic time series. NNSP 2002: 159-168 - 2001
- [c2]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Fusion Architectures for the Classification of Time Series. ICANN 2001: 749-758 - [c1]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Classification of Time Series Utilizing Temporal and Decision Fusion. Multiple Classifier Systems 2001: 378-387
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