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2020 – today
- 2021
[j5]Johannes Lederer, Michael Vogt:
Estimating the Lasso's Effective Noise. J. Mach. Learn. Res. 22: 276:1-276:32 (2021)- [c12]James Jackson, Michael Vogt, Gábor Sörös, Mikel Salazar, Sergey Fedorenko:
Demo: The First Open AR Cloud Testbed. ISMAR Adjunct 2021: 495-496 - 2020
- [j4]Gordon Notzon
, Robert Storch, Thomas Musch, Michael Vogt:
A Reflection Measurement System With High Accuracy Using Binary Coded Signals. IEEE Trans. Instrum. Meas. 69(10): 7825-7836 (2020)
2010 – 2019
- 2018
- [j3]Michael Vogt:
An overview of deep learning techniques. Autom. 66(9): 690-703 (2018) - [i1]Michael Vogt:
On the Differences between L2-Boosting and the Lasso. CoRR abs/1812.05421 (2018) - 2017
- [c11]Anja Exler, Sebastian Kramer, Miguel Angel Meza Martínez, Christian Navolskyi, Michael Vogt, Michael Beigl:
Suitability of Event-Based Prompts in Experience Sampling Studies Focusing on Location Changes. MobiHealth 2017: 163-168 - 2015
- [j2]Martin Gevers, Patrik Gebhardt, Stephan Westerdick, Michael Vogt, Thomas Musch:
Fast Electrical Impedance Tomography Based on Code-Division-Multiplexing Using Orthogonal Codes. IEEE Trans. Instrum. Meas. 64(5): 1188-1195 (2015) - 2014
- [c10]Michael Vogt, Martin Gevers, Thomas Musch:
Evaluation of transducer configurations for ultrasound cross-correlation flowmeters. I2MTC 2014: 40-44 - [c9]Martin Gevers, Patrik Gebhardt, Michael Vogt, Thomas Musch:
Code-division-multiplexing using orthogonal codes for fast electrical impedance tomography. I2MTC 2014: 1130-1133
2000 – 2009
- 2008
- [j1]Michael Vogt:
Support Vector Machines for Identification and Classification Problems in Control Engineering. Autom. 56(7): 391-392 (2008) - 2005
- [c8]Michael Vogt, Ulrich Moissl, Jochen Schaab:
Heart Rate Classification Using Support Vector Machines. GfKl 2005: 716-723 - 2003
- [c7]Vojislav Kecman, Michael Vogt, Te Ming Huang:
On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. ESANN 2003: 215-222
1990 – 1999
- 1998
- [b1]Michael Vogt:
Lippenmodellierung zur Merkmalsgewinnung für die audio-visuelle Spracherkennung. University of Stuttgart, Germany, Shaker 1998, ISBN 978-3-8265-4227-5, pp. 1-203 - 1997
- [c6]Michael Vogt:
Interpreted multi-state lip models for audio-visual speech recognition. AVSP 1997: 125-128 - [c5]Michael Vogt, M. Sommerau, Günter Mamier, Paul Levi:
Lokalisierung, Verfolgung und Modellierung von Lippen zur audio-visuellen Spracherkennung. DAGM-Symposium 1997: 464-471 - 1995
- [c4]M. Sommerau, Günter Mamier, Andreas Zell, Michael Vogt, Paul Levi:
Fast Face Localization and Tracking with Model-Based Time Synchronization of a Head System. DAGM-Symposium 1995: 516-523 - 1993
- [c3]Andreas Zell, Niels Mache, Markus Hüttel, Michael Vogt:
Simulation Neuronaler Netze auf Massiv Parallelen Rechnern. GI Jahrestagung 1993: 495-502 - [c2]Michael Vogt:
Combination of radial basis function neural networks with optimized learning vector quantization. ICNN 1993: 1841-1846 - [c1]Andreas Zell, Günter Mamier, Ralf Hübner, Michael Schmalzl, Tilman Sommer, Michael Vogt:
SNNS: An Efficient Simulator for Neural Nets. MASCOTS 1993: 343-346
Coauthor Index
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