Jan Larsen

89 papers A 1B 1Misc 14Journal 28Unranked 40
YearRankTypeTitle / Venue / Authors
2019 Misc conf
Peak Detection and Baseline Correction Using a Convolutional Neural Network.
ICASSP
Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen
2019 — conf
Scalable Privacy-Compliant Virality Prediction on Twitter.
AffCon@AAAI
Damian Konrad Kowalczyk, Jan Larsen
2018 — conf
Learning Preferences and Soundscapes for Augmented Hearing.
IUI Workshops
Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan
2018 — conf
Modeling User Intents as Context in Smartphone-connected Hearing Aids.
UMAP (Adjunct Publication)
Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan
2018 J jnl
Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data.
Comput.
Benjamin Johansen, Michael Kai Petersen, Maciej Jan Korzepa, Jan Larsen, Niels Henrik Pontoppidan, Jakob Eg Larsen
2018 J jnl
Scalable Privacy-Compliant Virality Prediction on Twitter.
CoRR
Damian Konrad Kowalczyk, Jan Larsen
2017 — ed.
27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017
MLSP
Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen
2017 Misc conf
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy.
ICASSP
Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen
2016 — ed.
26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016
MLSP
Francesco A. N. Palmieri, Aurelio Uncini, Kostas I. Diamantaras, Jan Larsen
2016 J jnl
Predicting Changes in Affective States using Neural Networks.
CoRR
Stina Lyck Carstensen, Jens Madsen, Jan Larsen
2015 — ed.
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015
MLSP
Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen
2015 J jnl
Deep Learning and Music Adversaries.
CoRR
Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015 J jnl
Deep Learning and Music Adversaries.
IEEE Trans. Multim.
Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015 — conf
Deep learning, audio adversaries, and music content analysis.
WASPAA
Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015 J jnl
Guest Editorial: Machine Learning for Signal Processing.
J. Signal Process. Syst.
Saeid Sanei, Paris Smaragdis, Anthony T. S. Ho, Asoke K. Nandi, Jan Larsen
2015 — conf
Learning Combinations of Multiple Feature Representations for Music Emotion Prediction.
ASM@ACM Multimedia
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2015 J jnl
Perception-Based Personalization of Hearing Aids Using Gaussian Processes and Active Learning.
IEEE ACM Trans. Audio Speech Lang. Process.
Jens Brehm Bagger Nielsen, Jakob Nielsen, Jan Larsen
2015 — conf
¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity.
MCM
Bob L. T. Sturm, Corey Kereliuk, Jan Larsen
2014 J jnl
Guest Editorial: Machine Learning for Signal Processing.
J. Signal Process. Syst.
Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen, Tieniu Tan
2014 — conf
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization.
MLSP
Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen
2014 — conf
Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons.
ISMIR
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2014 — conf
Preface.
CIP
Lars Kai Hansen, Søren Holdt Jensen, Jan Larsen
2013 — conf
Bounded Gaussian process regression.
MLSP
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
2013 Misc conf
Towards a universal representation for audio information retrieval and analysis.
ICASSP
Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
2012 Misc conf
A predictive model of music preference using pairwise comparisons.
ICASSP
Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen
2012 — ch.
Adaptive Regularization in Neural Network Modeling.
Neural Networks: Tricks of the Trade (2nd ed.)
Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
2012 J jnl
An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry.
IEEE Trans. Biomed. Circuits Syst.
Rasmus G. Haahr, Sune Bro Duun, Mette H. Toft, Bo Belhage, Jan Larsen, Karen Birkelund, Erik V. Thomsen
2012 — conf
Combining semantic and acoustic features for valence and arousal recognition in speech.
CIP
Seliz Gulsen Karadogan, Jan Larsen
2012 Misc conf
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors.
ICASSP
Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen
2012 — conf
Haussdorff and hellinger for colorimetric sensor array classification.
MLSP
Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
2012 — conf
Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons.
CMMR
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2012 — conf
Pseudo inputs for pairwise learning with Gaussian processes.
MLSP
Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen
2011 A conf
Augmenting the sound experience at music festivals using mobile phones.
IUI
Jakob Eg Larsen, Arkadiusz Stopczynski, Jan Larsen, Claus Vesterskov, Peter Krogsgaard, Thomas Sondrup
2011 — conf
Data representation and feature selection for colorimetric sensor arrays used as explosives detectors.
MLSP
Tommy S. Alstrøm, Jan Larsen, Natalie V. Kostesha, Mogens H. Jakobsen, Anja Boisen
2011 — conf
Efficient preference learning with pairwise continuous observations and Gaussian Processes.
MLSP
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
2011 Misc conf
How efficient is estimation with missing data?
ICASSP
Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen
2011 — conf
Preface.
MLSP
Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen
2011 — conf
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years.
ICMLA (1)
Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen
2011 — conf
Top-down attentionwith features missing at random.
MLSP
Seliz G. Karadogan, Letizia Marchegiani, Jan Larsen, Lars Kai Hansen
2011 J jnl
Trends in Machine Learning for Signal Processing [In the Spotlight].
IEEE Signal Process. Mag.
Tülay Adali, David J. Miller, Konstantinos I. Diamantaras, Jan Larsen
2011 J jnl
Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior.
J. Signal Process. Syst.
Morten Arngren, Mikkel N. Schmidt, Jan Larsen
2010 — conf
Combination of recursive supervised and semisupervised filters for improved unbiased estimation.
ISWCS
Jerónimo Arenas-García, Carlos Moriana-Varo, Jan Larsen
2010 — conf
Robust isolated speech recognition using binary masks.
EUSIPCO
Seliz Gulsen Karadogan, Jan Larsen, Michael Syskind Pedersen, Jesper Bünsow Boldt
2008 J jnl
Machine Learning for Signal Processing.
Neurocomputing
Marc M. Van Hulle, Jan Larsen
2008 J jnl
Two-Microphone Separation of Speech Mixtures.
IEEE Trans. Neural Networks
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
2007 — conf
Learning and clean-up in a large scale music database.
EUSIPCO
Lars Kai Hansen, Tue Lehn-Schiøler, Kaare Brandt Petersen, Jerónimo Arenas-García, Jan Larsen, Søren Holdt Jensen
2007 J jnl
Temporal Feature Integration for Music Genre Classification.
IEEE Trans. Speech Audio Process.
Anders Meng, Peter Ahrendt, Jan Larsen, Lars Kai Hansen
2006 — conf
BLUES from Music: BLind Underdetermined Extraction of Sources from Music.
ICA
Michael Syskind Pedersen, Tue Lehn-Schiøler, Jan Larsen
2006 J jnl
Clustering via kernel decomposition.
IEEE Trans. Neural Networks
Anna Szymkowiak-Have, Mark A. Girolami, Jan Larsen
2006 J jnl
Introductory Note.
J. VLSI Signal Process.
Allan Kardec Barros, Danilo P. Mandic, Jan Larsen
2006 — conf
On Data and Parameter Estimation Using the Variational Bayesian EM-Algorithm for Block-Fading Frequency-Selective MIMO Channels.
ICASSP (4)
Lars P. B. Christensen, Jan Larsen
2006 — conf
Optimal filtering of dynamics in short-time features for music organization.
ISMIR
Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng
2006 — conf
Separating Underdetermined Convolutive Speech Mixtures.
ICA
Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
2005 — conf
Improving music genre classification by short time feature integration.
ICASSP (5)
Anders Meng, Peter Ahrendt, Jan Larsen
2005 J jnl
Neural Networks in Signal Processing.
Neurocomputing
Marc M. Van Hulle, Jan Larsen
2005 — conf
On the difference between updating the mixing matrix and updating the separation matrix.
ICASSP (5)
Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen
2004 — conf
Decision time horizon for music genre classification using short time features.
EUSIPCO
Peter Ahrendt, Anders Meng, Jan Larsen
2004 J jnl
Detection of skin cancer by classification of Raman spectra.
IEEE Trans. Biomed. Eng.
Sigurdur Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf
2004 J jnl
Guest Editorial for Special Issue on Machine Learning for Signal Processing.
J. VLSI Signal Process.
David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle
2004 — conf
Mapping from Speech to Images Using Continuous State Space Models.
MLMI
Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen
2004 — conf
Pruning The Vocabulary For Better Context Recognition.
ICPR (2)
Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen
2004 B conf
Pruning the vocabulary for better context recognition.
IJCNN
Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen
2003 — conf
Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting.
ICASSP (2)
Joaquin Quiñonero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen
2003 — conf
Unsupervised condition change detection in large diesel engines.
NNSP
Niels Henrik Pontoppidan, Jan Larsen
2002 — conf
Clustering of Sun exposure measurements.
NNSP
Anna Szymkowiak-Have, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Elisabeth Thieden, Hans-Christian Wulf
2002 J jnl
Exploring fMRI data for periodic signal components.
Artif. Intell. Medicine
Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen
2002 J jnl
Guest Editorial.
J. VLSI Signal Process.
Yu Hen Hu, Jan Larsen
2002 J jnl
Guest Editors' Introduction.
J. VLSI Signal Process.
Marc M. Van Hulle, Jan Larsen, Tülay Adali
2002 J jnl
Guest editorial special issue on intelligent multimedia processing.
IEEE Trans. Neural Networks
Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe
2002 — conf
Independent component analysis for understanding multimedia content.
NNSP
Thomas Kolenda, Lars Kai Hansen, Jan Larsen, Ole Winther
2002 Misc conf
Outlier estimation and detection application to skin lesion classification.
ICASSP
Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf
2001 Misc conf
Blind detection of independent dynamic components.
ICASSP
Lars Kai Hansen, Jan Larsen, Thomas Kolenda
2000 J jnl
Adaptive Metric Kernel Regression.
J. VLSI Signal Process.
Cyril Goutte, Jan Larsen
2000 Misc conf
Modeling text with generalizable Gaussian mixtures.
ICASSP
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen
1999 Misc conf
Sonar discrimination of cylinders from different angles using neural networks.
ICASSP
Lars Nonboe Andersen, Whitlow W. L. Au, Jan Larsen, Lars Kai Hansen
1998 Misc conf
Adaptive regularization of neural networks using conjugate gradient.
ICASSP
Cyril Goutte, Jan Larsen
1998 Misc conf
Design of robust neural network classifiers.
ICASSP
Jan Larsen, Lars Nonboe Andersen, Mads Hintz-Madsen, Lars Kai Hansen
1998 J jnl
Neural classifier construction using regularization, pruning and test error estimation.
Neural Networks
Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen
1997 Misc conf
Early stop criterion from the bootstrap ensemble.
ICASSP
Lars Kai Hansen, Jan Larsen, Torben Fog
1997 J jnl
Generalization: The Hidden Agenda of Learning.
IEEE Signal Process. Mag.
Jan Larsen, Lars Kai Hansen
1996 — ch.
Adaptive Regularization in Neural Network Modeling.
Neural Networks: Tricks of the Trade
Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
1996 J jnl
Linear unlearning for cross-validation.
Adv. Comput. Math.
Lars Kai Hansen, Jan Larsen
1996 Misc conf
Revisiting Boltzmann learning: parameter estimation in Markov random fields.
ICASSP
Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
1996 — conf
Unsupervised learning and generalization.
ICNN
Lars Kai Hansen, Jan Larsen
1995 — conf
Classifying Facial Action.
NIPS
Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
1995 — conf
Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.
NIPS
Morten With Pedersen, Lars Kai Hansen, Jan Larsen
1995 — conf
Training and evaluation of neural networks for multi-variate time series processing.
ICNN
Torben Fog, Jan Larsen, Lars Kai Hansen
1994 J jnl
An algorithm for successive identification of reflections.
IEEE Trans. Image Process.
Kim Vejlby Hansen, Jan Larsen
1993 — conf
On design and evaluation of tapped-delay neural network architectures.
ICNN
Claus Svarer, Lars Kai Hansen, Jan Larsen