Monika Dörfler

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 19

Top Topics

Dirichlet Distribution

Convolutional Neural Networks

Top Venues

J. Math. Imaging Vis.

Adv. Comput. Math.

Publications

Pavol Harár, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson
Redistributor: Transforming Empirical Data Distributions. CoRR (2022)
Monika Dörfler, Franz Luef, Eirik Skrettingland
Local Structure and effective Dimensionality of Time Series Data Sets. CoRR (2021)
Elena Cordero, Maurice de Gosson, Monika Dörfler, Fabio Nicola
Generalized Born-Jordan distributions and applications. Adv. Comput. Math. 46 (3) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Monika Dörfler, Thomas Grill, Roswitha Bammer, Arthur Flexer
Basic filters for convolutional neural networks applied to music: Training or design? Neural Comput. Appl. 32 (4) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Stefan Lattner, Monika Dörfler, Andreas Arzt
Learning Complex Basis Functions for Invariant Representations of Audio. ISMIR (2019)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár, Zdenek Smékal
Machines listening to music: the role of signal representations in learning from music. CoRR (2019)
Pavol Harár, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smékal
Improving Machine Hearing on Limited Data Sets. ICUMT (2019)
Roswitha Bammer, Monika Dörfler, Pavol Harár
Gabor Frames and Deep Scattering Networks in Audio Processing. Axioms 8 (4) (2019)
Stefan Lattner, Monika Dörfler, Andreas Arzt
Learning Complex Basis Functions for Invariant Representations of Audio. CoRR (2019)
Arthur Flexer, Monika Dörfler, Jan Schlüter, Thomas Grill
Hubness as a Case of Technical Algorithmic Bias in Music Recommendation. ICDM Workshops (2018)
Elena Cordero, Maurice de Gosson, Monika Dörfler, Fabio Nicola
On the Symplectic Covariance and Interferences of Time-Frequency Distributions. SIAM J. Math. Anal. 50 (2) (2018)
Emil Solsbæk Ottosen, Monika Dörfler
A Phase Vocoder Based on Nonstationary Gabor Frames. IEEE ACM Trans. Audio Speech Lang. Process. 25 (11) (2017)
Monika Dörfler, Thomas Grill, Roswitha Bammer, Arthur Flexer
Basic Filters for Convolutional Neural Networks: Training or Design? CoRR (2017)
Roswitha Bammer, Monika Dörfler
Gabor frames and deep scattering networks in audio processing. CoRR (2017)
Emil Solsbæk Ottosen, Monika Dörfler
A Phase Vocoder based on Nonstationary Gabor Frames. CoRR (2016)
Monika Dörfler, Ewa Matusiak
Nonstationary Gabor frames - approximately dual frames and reconstruction errors. Adv. Comput. Math. 41 (2) (2015)
Monika Dörfler, Ewa Matusiak
Nonstationary Gabor frames - Existence and construction. Int. J. Wavelets Multiresolution Inf. Process. 12 (3) (2014)
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)
Kai Siedenburg, Matthieu Kowalski, Monika Dörfler
Audio declipping with social sparsity. ICASSP (2014)
Monika Dörfler, Gino Angelo M. Velasco
Adaptive Gabor frames by projection onto time-frequency subspaces. ICASSP (2014)
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) (2013)
Matthieu Kowalski, Kai Siedenburg, Monika Dörfler
Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. IEEE Trans. Signal Process. 61 (10) (2013)
Monika Dörfler, Ewa Matusiak
Sparse Gabor Multiplier Estimation for Identification of Sound Objects in Texture Sound. CMMR (2013)
Nicki Holighaus, Monika Dörfler, Gino Angelo M. Velasco, Thomas Grill
A Framework for Invertible, Real-Time Constant-Q Transforms. IEEE Trans. Speech Audio Process. 21 (4) (2013)
Monika Dörfler
Allocating, Detecting and Mining Sound Structures: An Overview of Technical Tools. AIAI (2) (2012)
Piotr Majdak, Péter Balázs, Wolfgang Kreuzer, Monika Dörfler
A time-frequency method for increasing the signal-to-noise ratio in system identification with exponential sweeps. ICASSP (2011)
Monika Dörfler
Quilted Gabor frames - A new concept for adaptive time-frequency representation. Adv. Appl. Math. 47 (4) (2011)
Péter Balázs, Monika Dörfler, Florent Jaillet, Nicki Holighaus, Gino Angelo M. Velasco
Theory, implementation and applications of nonstationary Gabor frames. J. Comput. Appl. Math. 236 (6) (2011)
Andre Holzapfel, Gino Angelo M. Velasco, Nicki Holighaus, Monika Dörfler, Arthur Flexer
Advantages of nonstationary gabor transforms in beat tacking. MIRUM (2011)
Monika Dörfler, Bruno Torrésani
Representation of Operators in the Time-Frequency Domain and Generalzed Gabor Multipliers. Structured Decompositions and Efficient Algorithms (2008)
Monika Dörfler, Hans G. Feichtinger
Orthogonal projections derived from localization operators. EUSIPCO (2004)