Jan Larsen

According to our database, Jan Larsen authored at least 83 papers between 1993 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Peak Detection and Baseline Correction Using a Convolutional Neural Network.

Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen

Proceedings of the IEEE International Conference on Acoustics, 2019

Scalable Privacy-Compliant Virality Prediction on Twitter.

Damian Konrad Kowalczyk, Jan Larsen

Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018

Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data.

Benjamin Johansen, Michael Kai Petersen, Maciej Jan Korzepa, Jan Larsen, Niels Henrik Pontoppidan, Jakob Eg Larsen

Comput., 2018

Modeling User Intents as Context in Smartphone-connected Hearing Aids.

Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Learning Preferences and Soundscapes for Augmented Hearing.

Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

2017

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy.

Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Predicting Changes in Affective States using Neural Networks.

Stina Lyck Carstensen, Jens Madsen, Jan Larsen

CoRR, 2016

2015

Guest Editorial: Machine Learning for Signal Processing.

Saeid Sanei, Paris Smaragdis, Anthony T. S. Ho, Asoke K. Nandi, Jan Larsen

J. Signal Process. Syst., 2015

Deep Learning and Music Adversaries.

Corey Kereliuk, Bob L. Sturm, Jan Larsen

IEEE Trans. Multim., 2015

Perception-Based Personalization of Hearing Aids Using Gaussian Processes and Active Learning.

Jens Brehm Bagger Nielsen, Jakob Nielsen, Jan Larsen

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Deep learning, audio adversaries, and music content analysis.

Corey Kereliuk, Bob L. Sturm, Jan Larsen

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Learning Combinations of Multiple Feature Representations for Music Emotion Prediction.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015

¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity.

Bob L. Sturm, Corey Kereliuk, Jan Larsen

Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

2014

Guest Editorial: Machine Learning for Signal Processing.

Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen, Tieniu Tan

J. Signal Process. Syst., 2014

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization.

Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Preface.

Lars Kai Hansen, Søren Holdt Jensen, Jan Larsen

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

Bounded Gaussian process regression.

Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Towards a universal representation for audio information retrieval and analysis.

Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Adaptive Regularization in Neural Network Modeling.

Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry.

Rasmus G. Haahr, Sune B. Duun, Mette H. Toft, Bo Belhage, Jan Larsen, Karen Birkelund, Erik V. Thomsen

IEEE Trans. Biomed. Circuits Syst., 2012

Pseudo inputs for pairwise learning with Gaussian processes.

Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Haussdorff and hellinger for colorimetric sensor array classification.

Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A predictive model of music preference using pairwise comparisons.

Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors.

Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Combining semantic and acoustic features for valence and arousal recognition in speech.

Seliz Gulsen Karadogan, Jan Larsen

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

2011

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior.

Morten Arngren, Mikkel N. Schmidt, Jan Larsen

J. Signal Process. Syst., 2011

Trends in Machine Learning for Signal Processing [In the Spotlight].

Tülay Adali, David J. Miller, Konstantinos I. Diamantaras, Jan Larsen

IEEE Signal Process. Mag., 2011

Preface.

Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Top-down attentionwith features missing at random.

Seliz G. Karadogan, Letizia Marchegiani, Jan Larsen, Lars Kai Hansen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Efficient preference learning with pairwise continuous observations and Gaussian Processes.

Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Data representation and feature selection for colorimetric sensor arrays used as explosives detectors.

Tommy S. Alstrøm, Jan Larsen, Natalie V. Kostesha, Mogens H. Jakobsen, Anja Boisen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Augmenting the sound experience at music festivals using mobile phones.

Jakob Eg Larsen, Arkadiusz Stopczynski, Jan Larsen, Claus Vesterskov, Peter Krogsgaard, Thomas Sondrup

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years.

Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

How efficient is estimation with missing data?

Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Combination of recursive supervised and semisupervised filters for improved unbiased estimation.

Jerónimo Arenas-García, Carlos Moriana-Varo, Jan Larsen

Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Robust isolated speech recognition using binary masks.

Seliz Gulsen Karadogan, Jan Larsen, Michael Syskind Pedersen, Jesper Bünsow Boldt

Proceedings of the 18th European Signal Processing Conference, 2010

2008

Two-Microphone Separation of Speech Mixtures.

Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems

IEEE Trans. Neural Networks, 2008

Machine Learning for Signal Processing.

Marc M. Van Hulle, Jan Larsen

Neurocomputing, 2008

2007

Temporal Feature Integration for Music Genre Classification.

Anders Meng, Peter Ahrendt, Jan Larsen, Lars Kai Hansen

IEEE Trans. Speech Audio Process., 2007

Learning and clean-up in a large scale music database.

Lars Kai Hansen, Tue Lehn-Schiøler, Kaare Brandt Petersen, Jerónimo Arenas-García, Jan Larsen, Søren Holdt Jensen

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Introductory Note.

Allan Kardec Barros, Danilo P. Mandic, Jan Larsen

J. VLSI Signal Process., 2006

Clustering via kernel decomposition.

Anna Szymkowiak-Have, Mark A. Girolami, Jan Larsen

IEEE Trans. Neural Networks, 2006

Optimal filtering of dynamics in short-time features for music organization.

Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng

Proceedings of the ISMIR 2006, 2006

On Data and Parameter Estimation Using the Variational Bayesian EM-Algorithm for Block-Fading Frequency-Selective MIMO Channels.

Lars P. B. Christensen, Jan Larsen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Separating Underdetermined Convolutive Speech Mixtures.

Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

BLUES from Music: BLind Underdetermined Extraction of Sources from Music.

Michael Syskind Pedersen, Tue Lehn-Schiøler, Jan Larsen

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Neural Networks in Signal Processing.

Marc M. Van Hulle, Jan Larsen

Neurocomputing, 2005

On the difference between updating the mixing matrix and updating the separation matrix.

Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Improving music genre classification by short time feature integration.

Anders Meng, Peter Ahrendt, Jan Larsen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Guest Editorial for Special Issue on Machine Learning for Signal Processing.

David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle

J. VLSI Signal Process., 2004

Detection of skin cancer by classification of Raman spectra.

Sigurdur Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf

IEEE Trans. Biomed. Eng., 2004

Mapping from Speech to Images Using Continuous State Space Models.

Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen

Proceedings of the Machine Learning for Multimodal Interaction, 2004

Pruning The Vocabulary For Better Context Recognition.

Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Decision time horizon for music genre classification using short time features.

Peter Ahrendt, Anders Meng, Jan Larsen

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Unsupervised condition change detection in large diesel engines.

Niels Henrik Pontoppidan, Jan Larsen

Proceedings of the NNSP 2003, 2003

Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting.

Joaquin Quiñonero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Guest Editors' Introduction.

Marc M. Van Hulle, Jan Larsen, Tülay Adali

J. VLSI Signal Process., 2002

Guest Editorial.

Yu Hen Hu, Jan Larsen

J. VLSI Signal Process., 2002

Guest editorial special issue on intelligent multimedia processing.

Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe

IEEE Trans. Neural Networks, 2002

Exploring fMRI data for periodic signal components.

Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen

Artif. Intell. Medicine, 2002

Clustering of Sun exposure measurements.

Anna Szymkowiak-Have, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Elisabeth Thieden, Hans-Christian Wulf

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Independent component analysis for understanding multimedia content.

Thomas Kolenda, Lars Kai Hansen, Jan Larsen, Ole Winther

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Outlier estimation and detection application to skin lesion classification.

Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Blind detection of independent dynamic components.

Lars Kai Hansen, Jan Larsen, Thomas Kolenda

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Adaptive Metric Kernel Regression.

Cyril Goutte, Jan Larsen

J. VLSI Signal Process., 2000

Modeling text with generalizable Gaussian mixtures.

Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Sonar discrimination of cylinders from different angles using neural networks.

Lars Nonboe Andersen, Whitlow W. L. Au, Jan Larsen, Lars Kai Hansen

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Neural classifier construction using regularization, pruning and test error estimation.

Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen

Neural Networks, 1998

Design of robust neural network classifiers.

Jan Larsen, Lars Nonboe Andersen, Mads Hintz-Madsen, Lars Kai Hansen

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Adaptive regularization of neural networks using conjugate gradient.

Cyril Goutte, Jan Larsen

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

Generalization: The Hidden Agenda of Learning.

Jan Larsen, Lars Kai Hansen

IEEE Signal Process. Mag., 1997

Early stop criterion from the bootstrap ensemble.

Lars Kai Hansen, Jan Larsen, Torben Fog

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Linear unlearning for cross-validation.

Lars Kai Hansen, Jan Larsen

Adv. Comput. Math., 1996

Adaptive Regularization in Neural Network Modeling.

Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen

Proceedings of the Neural Networks: Tricks of the Trade, 1996

Unsupervised learning and generalization.

Lars Kai Hansen, Jan Larsen

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Revisiting Boltzmann learning: parameter estimation in Markov random fields.

Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.

Morten With Pedersen, Lars Kai Hansen, Jan Larsen

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Classifying Facial Action.

Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Training and evaluation of neural networks for multi-variate time series processing.

Torben Fog, Jan Larsen, Lars Kai Hansen

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

An algorithm for successive identification of reflections.

Kim Vejlby Hansen, Jan Larsen

IEEE Trans. Image Process., 1994

1993

On design and evaluation of tapped-delay neural network architectures.

Claus Svarer, Lars Kai Hansen, Jan Larsen

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993