Zobrazeno 1 - 10
of 11
pro vyhledávání: '"André Stuhlsatz"'
Publikováno v:
VISIGRAPP (3: IVAPP)
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d212e40b64b32acfc2019323aff91a9
https://doi.org/10.5220/0006167501160127
https://doi.org/10.5220/0006167501160127
Autor:
Daniel Gaida, André Stuhlsatz, M. Bongards, Thomas Bäck, J. Lippel, Christian Wolf, Seán McLoone, C. Meyer
Publikováno v:
Water Science and Technology. 66:1088-1095
The optimization of full-scale biogas plant operation is of great importance to make biomass a competitive source of renewable energy. The implementation of innovative control and optimization algorithms, such as Nonlinear Model Predictive Control, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca82edf1b78c4cf20e61bad80bdf5a4
https://doi.org/10.2166/wst.2012.286
https://doi.org/10.2166/wst.2012.286
Autor:
Björn Schuller, Martin Wöllmer, André Stuhlsatz, Florian Eyben, Bogdan Vlasenko, Andreas Wendemuth, Gerhard Rigoll
Publikováno v:
IEEE Transactions on Affective Computing. 1:119-131
As the recognition of emotion from speech has matured to a degree where it becomes applicable in real-life settings, it is time for a realistic view on obtainable performances. Most studies tend to overestimation in this respect: Acted data is often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0feedfa27376299b0d6a020998c0c73
https://doi.org/10.1109/t-affc.2010.8
https://doi.org/10.1109/t-affc.2010.8
The concentration of organic acids in anaerobic digesters is one of the most critical parameters for monitoring and advanced control of anaerobic digestion processes. Thus, a reliable online-measurement system is absolutely necessary. A novel approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30fac7def741a163aa5bb8f1b97dca0a
http://eprints.maynoothuniversity.ie/3868/
http://eprints.maynoothuniversity.ie/3868/
Publikováno v:
ICASSP
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant Analysis (GerDA) based on DNNs to learn discriminative features of low dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79f377832b7b4b081ba6c7cfa90634c4
https://doi.org/10.1109/icassp.2011.5947651
https://doi.org/10.1109/icassp.2011.5947651
Publikováno v:
ICPR
Constructing a recognition system based on raw measurements for different objects usually requires expert knowledge of domain specific data preprocessing, feature extraction, and classifier design. We seek to simplify this process in a way that can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b330c011d3d39c586990aee8c80c1c27
https://doi.org/10.1109/icpr.2010.377
https://doi.org/10.1109/icpr.2010.377
Publikováno v:
IJCNN
We propose a framework for optimizing Deep Neural Networks (DNN) with the objective of learning low-dimensional discriminative features from high-dimensional complex patterns.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b5ccc0a6f8f4172c570847b4072805
https://doi.org/10.1109/ijcnn.2010.5596329
https://doi.org/10.1109/ijcnn.2010.5596329
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642158520
The concentration of organic acids in anaerobic digesters is one of the most critical parameters for monitoring and advanced control of anaerobic digestion processes, making a reliable online-measurement system absolutely necessary. This paper introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e544d0acca5173598e634e2b62a42e5
https://doi.org/10.1007/978-3-642-15853-7_25
https://doi.org/10.1007/978-3-642-15853-7_25
Publikováno v:
ICMLA
This paper presents a new implementable algorithm for solving the Lipschitz classifier that is a generalization of the maximum margin concept from Hilbert to Banach spaces. In contrast to the support vector machine approach, our algorithm is free to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c36e45c7e0f1474bb9fe17bb77ba2bb
https://doi.org/10.1109/icmla.2008.26
https://doi.org/10.1109/icmla.2008.26
Publikováno v:
Advances in Soft Computing ISBN: 9783540751748
Computer Recognition Systems 2
Computer Recognition Systems 2
In this paper, we present a new implementable learning algorithm for the general nonlinear binary classification problem. The suggested algorithm abides the maximum margin philosophy, and learns a decision function from the set of all finite linear c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d509b07df271a3e7fd6042083cf94b4
https://doi.org/10.1007/978-3-540-75175-5_27
https://doi.org/10.1007/978-3-540-75175-5_27