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Monika Dörfler
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2020 – today
- 2022
- [i9]Pavol Harár
, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson:
Redistributor: Transforming Empirical Data Distributions. CoRR abs/2210.14219 (2022) - 2021
- [i8]Monika Dörfler, Franz Luef, Eirik Skrettingland:
Local Structure and effective Dimensionality of Time Series Data Sets. CoRR abs/2111.02153 (2021) - 2020
- [j14]Elena Cordero, Maurice A. de Gosson, Monika Dörfler, Fabio Nicola:
Generalized Born-Jordan distributions and applications. Adv. Comput. Math. 46(3): 51 (2020) - [j13]Anna Breger
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 376-394 (2020) - [j12]Anna Breger
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 395 (2020) - [j11]Monika Dörfler, Thomas Grill
Basic filters for convolutional neural networks applied to music: Training or design? Neural Comput. Appl. 32(4): 941-954 (2020)
2010 – 2019
- 2019
- [j10]Roswitha Bammer, Monika Dörfler
Gabor Frames and Deep Scattering Networks in Audio Processing. Axioms 8(4): 106 (2019) - [c11]Pavol Harár, Roswitha Bammer, Anna Breger
Improving Machine Hearing on Limited Data Sets. ICUMT 2019: 1-6 - [c10]Stefan Lattner, Monika Dörfler, Andreas Arzt:
Learning Complex Basis Functions for Invariant Representations of Audio. ISMIR 2019: 700-707 - [i7]Anna Breger, José Ignacio Orlando, Pavol Harár
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR abs/1901.07598 (2019) - [i6]Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár
Machines listening to music: the role of signal representations in learning from music. CoRR abs/1903.08950 (2019) - [i5]Stefan Lattner, Monika Dörfler, Andreas Arzt:
Learning Complex Basis Functions for Invariant Representations of Audio. CoRR abs/1907.05982 (2019) - 2018
- [j9]Elena Cordero, Maurice A. de Gosson, Monika Dörfler, Fabio Nicola:
On the Symplectic Covariance and Interferences of Time-Frequency Distributions. SIAM J. Math. Anal. 50(2): 2178-2193 (2018) - [c9]Arthur Flexer
Hubness as a Case of Technical Algorithmic Bias in Music Recommendation. ICDM Workshops 2018: 1062-1069 - 2017
- [j8]Emil Solsbæk Ottosen
A Phase Vocoder Based on Nonstationary Gabor Frames. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2199-2208 (2017) - [i4]Roswitha Bammer, Monika Dörfler:
Gabor frames and deep scattering networks in audio processing. CoRR abs/1706.08818 (2017) - [i3]Monika Dörfler, Thomas Grill, Roswitha Bammer, Arthur Flexer:
Basic Filters for Convolutional Neural Networks: Training or Design? CoRR abs/1709.02291 (2017) - 2016
- [i2]Emil Solsbæk Ottosen, Monika Dörfler:
A Phase Vocoder based on Nonstationary Gabor Frames. CoRR abs/1612.05156 (2016) - 2015
- [j7]Monika Dörfler
Nonstationary Gabor frames - approximately dual frames and reconstruction errors. Adv. Comput. Math. 41(2): 293-316 (2015) - 2014
- [j6]Monika Dörfler
Nonstationary Gabor frames - Existence and construction. Int. J. Wavelets Multiresolution Inf. Process. 12(3) (2014) - [c8]Kai Siedenburg, Matthieu Kowalski, Monika Dörfler
Audio declipping with social sparsity. ICASSP 2014: 1577-1578 - [c7]Monika Dörfler
Adaptive Gabor frames by projection onto time-frequency subspaces. ICASSP 2014: 3097-3101 - [c6]Christian Schörkhuber, Anssi Klapuri, Nicki Holighaus, Monika Dörfler:
A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution. Semantic Audio 2014 - 2013
- [j5]Péter Balázs, Monika Dörfler, Matthieu Kowalski, Bruno Torrésani
Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View. IEEE Signal Process. Mag. 30(6): 20-31 (2013) - [j4]Nicki Holighaus
A Framework for Invertible, Real-Time Constant-Q Transforms. IEEE Trans. Speech Audio Process. 21(4): 775-785 (2013) - [j3]Matthieu Kowalski, Kai Siedenburg, Monika Dörfler
Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. IEEE Trans. Signal Process. 61(10): 2498-2511 (2013) - [c5]Monika Dörfler
Sparse Gabor Multiplier Estimation for Identification of Sound Objects in Texture Sound. CMMR 2013: 443-462 - 2012
- [c4]Monika Dörfler
Allocating, Detecting and Mining Sound Structures: An Overview of Technical Tools. AIAI (2) 2012: 470-479 - 2011
- [j2]Monika Dörfler
Quilted Gabor frames - A new concept for adaptive time-frequency representation. Adv. Appl. Math. 47(4): 668-687 (2011) - [j1]Péter Balázs, Monika Dörfler
Theory, implementation and applications of nonstationary Gabor frames. J. Comput. Appl. Math. 236(6): 1481-1496 (2011) - [c3]Piotr Majdak, Péter Balázs, Wolfgang Kreuzer
A time-frequency method for increasing the signal-to-noise ratio in system identification with exponential sweeps. ICASSP 2011: 3812-3815 - [c2]Andre Holzapfel, Gino Angelo M. Velasco
Advantages of nonstationary gabor transforms in beat tacking. MIRUM 2011: 45-50
2000 – 2009
- 2008
- [i1]Monika Dörfler, Bruno Torrésani:
Representation of Operators in the Time-Frequency Domain and Generalzed Gabor Multipliers. Structured Decompositions and Efficient Algorithms 2008 - 2004
- [c1]Monika Dörfler, Hans G. Feichtinger:
Orthogonal projections derived from localization operators. EUSIPCO 2004: 1195-1198
Coauthor Index
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