Jan Larsen

Publication Activity (10 Years)

Years Active: 1993-2019
Publications (10 Years): 8

Top Topics

Pairwise Comparison

Gaussian Process

Feature Representations

Top Venues

Publications

Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen
Peak Detection and Baseline Correction Using a Convolutional Neural Network. ICASSP (2019)
Damian Konrad Kowalczyk, Jan Larsen
Scalable Privacy-Compliant Virality Prediction on Twitter. AffCon@AAAI (2019)
Benjamin Johansen, Michael Kai Petersen, Maciej Jan Korzepa, Jan Larsen, Niels Henrik Pontoppidan, Jakob Eg Larsen
Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data. Comput. 7 (1) (2018)
Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan
Learning Preferences and Soundscapes for Augmented Hearing. IUI Workshops (2018)
Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan
Modeling User Intents as Context in Smartphone-connected Hearing Aids. UMAP (Adjunct Publication) (2018)
Damian Konrad Kowalczyk, Jan Larsen
Scalable Privacy-Compliant Virality Prediction on Twitter. CoRR (2018)
Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. ICASSP (2017)
Stina Lyck Carstensen, Jens Madsen, Jan Larsen
Predicting Changes in Affective States using Neural Networks. CoRR (2016)
Corey Kereliuk, Bob L. Sturm, Jan Larsen
Deep Learning and Music Adversaries. IEEE Trans. Multim. 17 (11) (2015)
Bob L. Sturm, Corey Kereliuk, Jan Larsen
¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity. MCM (2015)
Corey Kereliuk, Bob L. Sturm, Jan Larsen
Deep learning, audio adversaries, and music content analysis. WASPAA (2015)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. ASM@ACM Multimedia (2015)
Jens Brehm Bagger Nielsen, Jakob Nielsen, Jan Larsen
Perception-Based Personalization of Hearing Aids Using Gaussian Processes and Active Learning. IEEE ACM Trans. Audio Speech Lang. Process. 23 (1) (2015)
Corey Kereliuk, Bob L. Sturm, Jan Larsen
Deep Learning and Music Adversaries. CoRR (2015)
Saeid Sanei, Paris Smaragdis, Anthony T. S. Ho, Asoke K. Nandi, Jan Larsen
Guest Editorial: Machine Learning for Signal Processing. J. Signal Process. Syst. 79 (2) (2015)
Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen, Tieniu Tan
Guest Editorial: Machine Learning for Signal Processing. J. Signal Process. Syst. 74 (3) (2014)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons. ISMIR (2014)
Lars Kai Hansen, Søren Holdt Jensen, Jan Larsen
Preface. CIP (2014)
Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization. MLSP (2014)
Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
Towards a universal representation for audio information retrieval and analysis. ICASSP (2013)
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
Bounded Gaussian process regression. MLSP (2013)
Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
Haussdorff and hellinger for colorimetric sensor array classification. MLSP (2012)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons. CMMR (2012)
Rasmus G. Haahr, Sune B. Duun, Mette H. Toft, Bo Belhage, Jan Larsen, Karen Birkelund, Erik V. Thomsen
An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry. IEEE Trans. Biomed. Circuits Syst. 6 (1) (2012)
Seliz Gulsen Karadogan, Jan Larsen
Combining semantic and acoustic features for valence and arousal recognition in speech. CIP (2012)
Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen
Pseudo inputs for pairwise learning with Gaussian processes. MLSP (2012)
Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen
A predictive model of music preference using pairwise comparisons. ICASSP (2012)
Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. ICASSP (2012)
Tülay Adali, David J. Miller, Konstantinos I. Diamantaras, Jan Larsen
Trends in Machine Learning for Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. 28 (6) (2011)
Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. ICMLA (1) (2011)
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
Efficient preference learning with pairwise continuous observations and Gaussian Processes. MLSP (2011)
Morten Arngren, Mikkel N. Schmidt, Jan Larsen
Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior. J. Signal Process. Syst. 65 (3) (2011)
Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen
How efficient is estimation with missing data? ICASSP (2011)
Tommy S. Alstrøm, Jan Larsen, Natalie V. Kostesha, Mogens H. Jakobsen, Anja Boisen
Data representation and feature selection for colorimetric sensor arrays used as explosives detectors. MLSP (2011)
Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen
Preface. MLSP (2011)
Seliz G. Karadogan, Letizia Marchegiani, Jan Larsen, Lars Kai Hansen
Top-down attentionwith features missing at random. MLSP (2011)
Jakob Eg Larsen, Arkadiusz Stopczynski, Jan Larsen, Claus Vesterskov, Peter Krogsgaard, Thomas Sondrup
Augmenting the sound experience at music festivals using mobile phones. IUI (2011)
Jerónimo Arenas-García, Carlos Moriana-Varo, Jan Larsen
Combination of recursive supervised and semisupervised filters for improved unbiased estimation. ISWCS (2010)
Seliz Gulsen Karadogan, Jan Larsen, Michael Syskind Pedersen, Jesper Bünsow Boldt
Robust isolated speech recognition using binary masks. EUSIPCO (2010)
Marc M. Van Hulle, Jan Larsen
Machine Learning for Signal Processing. Neurocomputing 72 (1-3) (2008)
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
Two-Microphone Separation of Speech Mixtures. IEEE Trans. Neural Networks 19 (3) (2008)
Lars Kai Hansen, Tue Lehn-Schiøler, Kaare Brandt Petersen, Jerónimo Arenas-García, Jan Larsen, Søren Holdt Jensen
Learning and clean-up in a large scale music database. EUSIPCO (2007)
Anders Meng, Peter Ahrendt, Jan Larsen, Lars Kai Hansen
Temporal Feature Integration for Music Genre Classification. IEEE Trans. Speech Audio Process. 15 (5) (2007)
Michael Syskind Pedersen, Tue Lehn-Schiøler, Jan Larsen
BLUES from Music: BLind Underdetermined Extraction of Sources from Music. ICA (2006)
Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
Separating Underdetermined Convolutive Speech Mixtures. ICA (2006)
Anna Szymkowiak-Have, Mark A. Girolami, Jan Larsen
Clustering via kernel decomposition. IEEE Trans. Neural Networks 17 (1) (2006)
Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng
Optimal filtering of dynamics in short-time features for music organization. ISMIR (2006)
Lars P. B. Christensen, Jan Larsen
On Data and Parameter Estimation Using the Variational Bayesian EM-Algorithm for Block-Fading Frequency-Selective MIMO Channels. ICASSP (4) (2006)
Allan Kardec Barros, Danilo P. Mandic, Jan Larsen
Introductory Note. J. VLSI Signal Process. 45 (1-2) (2006)
Marc M. Van Hulle, Jan Larsen
Neural Networks in Signal Processing. Neurocomputing 69 (1-3) (2005)
Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen
On the difference between updating the mixing matrix and updating the separation matrix. ICASSP (5) (2005)
Anders Meng, Peter Ahrendt, Jan Larsen
Improving music genre classification by short time feature integration. ICASSP (5) (2005)
Sigurdur Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf
Detection of skin cancer by classification of Raman spectra. IEEE Trans. Biomed. Eng. 51 (10) (2004)
Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen
Pruning The Vocabulary For Better Context Recognition. ICPR (2) (2004)
David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle
Guest Editorial for Special Issue on Machine Learning for Signal Processing. J. VLSI Signal Process. 37 (2-3) (2004)
Peter Ahrendt, Anders Meng, Jan Larsen
Decision time horizon for music genre classification using short time features. EUSIPCO (2004)
Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen
Mapping from Speech to Images Using Continuous State Space Models. MLMI (2004)
Niels Henrik Pontoppidan, Jan Larsen
Unsupervised condition change detection in large diesel engines. NNSP (2003)
Joaquin Quiñonero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen
Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. ICASSP (2) (2003)
Anna Szymkowiak-Have, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Elisabeth Thieden, Hans-Christian Wulf
Clustering of Sun exposure measurements. NNSP (2002)
Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe
Guest editorial special issue on intelligent multimedia processing. IEEE Trans. Neural Networks 13 (4) (2002)
Marc M. Van Hulle, Jan Larsen, Tülay Adali
Guest Editors' Introduction. J. VLSI Signal Process. 32 (1-2) (2002)
Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen
Exploring fMRI data for periodic signal components. Artif. Intell. Medicine 25 (1) (2002)
Thomas Kolenda, Lars Kai Hansen, Jan Larsen, Ole Winther
Independent component analysis for understanding multimedia content. NNSP (2002)
Yu Hen Hu, Jan Larsen
Guest Editorial. J. VLSI Signal Process. 31 (1) (2002)
Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf
Outlier estimation and detection application to skin lesion classification. ICASSP (2002)
Lars Kai Hansen, Jan Larsen, Thomas Kolenda
Blind detection of independent dynamic components. ICASSP (2001)
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen
Modeling text with generalizable Gaussian mixtures. ICASSP (2000)
Cyril Goutte, Jan Larsen
Adaptive Metric Kernel Regression. J. VLSI Signal Process. 26 (1-2) (2000)
Lars Nonboe Andersen, Whitlow W. L. Au, Jan Larsen, Lars Kai Hansen
Sonar discrimination of cylinders from different angles using neural networks. ICASSP (1999)
Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen
Neural classifier construction using regularization, pruning and test error estimation. Neural Networks 11 (9) (1998)
Cyril Goutte, Jan Larsen
Adaptive regularization of neural networks using conjugate gradient. ICASSP (1998)
Jan Larsen, Lars Nonboe Andersen, Mads Hintz-Madsen, Lars Kai Hansen
Design of robust neural network classifiers. ICASSP (1998)
Lars Kai Hansen, Jan Larsen, Torben Fog
Early stop criterion from the bootstrap ensemble. ICASSP (1997)
Jan Larsen, Lars Kai Hansen
Generalization: The Hidden Agenda of Learning. IEEE Signal Process. Mag. 14 (6) (1997)
Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
Revisiting Boltzmann learning: parameter estimation in Markov random fields. ICASSP (1996)
Lars Kai Hansen, Jan Larsen
Unsupervised learning and generalization. ICNN (1996)
Lars Kai Hansen, Jan Larsen
Linear unlearning for cross-validation. Adv. Comput. Math. 5 (1) (1996)
Torben Fog, Jan Larsen, Lars Kai Hansen
Training and evaluation of neural networks for multi-variate time series processing. ICNN (1995)
Morten With Pedersen, Lars Kai Hansen, Jan Larsen
Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS. NIPS (1995)
Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
Classifying Facial Action. NIPS (1995)
Kim Vejlby Hansen, Jan Larsen
An algorithm for successive identification of reflections. IEEE Trans. Image Process. 3 (3) (1994)
Claus Svarer, Lars Kai Hansen, Jan Larsen
On design and evaluation of tapped-delay neural network architectures. ICNN (1993)