2009 | ||
---|---|---|
53 | EE | Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen: Bayesian Non-negative Matrix Factorization. ICA 2009: 540-547 |
2008 | ||
52 | Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse M. Arnfred: Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. BIOSIGNALS (2) 2008: 3-10 | |
51 | EE | Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen: Approximate L0 constrained non-negative matrix and tensor factorization. ISCAS 2008: 1328-1331 |
50 | EE | Thomas Beierholm, Albert H. Nuttall, Lars Kai Hansen: Use and Subtleties of Saddlepoint Approximation for Minimum Mean-Square Error Estimation. IEEE Transactions on Information Theory 54(12): 5778-5787 (2008) |
49 | EE | Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen: Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics. Neural Computation 20(3): 738-755 (2008) |
48 | EE | Morten Mørup, Lars Kai Hansen, Sidse M. Arnfred: Algorithms for Sparse Nonnegative Tucker Decompositions. Neural Computation 20(8): 2112-2131 (2008) |
47 | EE | Andreas Brinch Nielsen, Lars Kai Hansen: Structure learning by pruning in independent component analysis. Neurocomputing 71(10-12): 2281-2290 (2008) |
2007 | ||
46 | EE | Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen: Shifted Independent Component Analysis. ICA 2007: 89-96 |
45 | EE | Ana S. Lukic, Miles N. Wernick, Yongyi Yang, Lars Kai Hansen, Konstantinos Arfanakis, Stephen C. Strother: Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages. IEEE Trans. Med. Imaging 26(8): 1058-1068 (2007) |
44 | EE | Anders Meng, P. Ahrendt, Jan Larsen, Lars Kai Hansen: Temporal Feature Integration for Music Genre Classification. IEEE Transactions on Audio, Speech & Language Processing 15(5): 1654-1664 (2007) |
43 | EE | Mads Dyrholm, Scott Makeig, Lars Kai Hansen: Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. Neural Computation 19(4): 934-955 (2007) |
2006 | ||
42 | EE | Lars Kai Hansen, Ling Feng: Cogito Componentiter Ergo Sum. ICA 2006: 446-453 |
41 | EE | Mads Dyrholm, Scott Makeig, Lars Kai Hansen: Model Structure Selection in Convolutive Mixtures. ICA 2006: 74-81 |
40 | EE | Daniel J. Jacobsen, Kristoffer Hougaard Madsen, Lars Kai Hansen: Identification of non-linear models of neural activity in BOLD fMRI. ISBI 2006: 952-955 |
39 | Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng: Optimal filtering of dynamics in short-time features for music organization. ISMIR 2006: 290-295 | |
38 | Tue Lehn-Schiøler, Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen: A Genre Classification Plug-in for Data Collection. ISMIR 2006: 320-321 | |
37 | EE | Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen: Sparse Kernel Orthonormalized PLS for feature extraction in large data sets. NIPS 2006: 33-40 |
36 | EE | Thomas Grotkjær, Ole Winther, Birgitte Regenberg, Jens Nielsen, Lars Kai Hansen: Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm. Bioinformatics 22(1): 58-67 (2006) |
35 | EE | Rasmus Kongsgaard Olsson, Lars Kai Hansen: Linear State-Space Models for Blind Source Separation. Journal of Machine Learning Research 6: 2585-2602 (2006) |
2005 | ||
34 | Ling Feng, Lars Kai Hansen: On Low-level Cognitive Components of Speech. CIMCA/IAWTIC 2005: 852-858 | |
33 | EE | Kaare Brandt Petersen, Ole Winther, Lars Kai Hansen: On the Slow Convergence of EM and VBEM in Low-Noise Linear Models. Neural Computation 17(9): 1921-1926 (2005) |
2004 | ||
32 | EE | Mads Dyrholm, Lars Kai Hansen: CICAAR: Convolutive ICA with an Auto-regressive Inverse Model. ICA 2004: 594-601 |
31 | EE | Rasmus Kongsgaard Olsson, Lars Kai Hansen: Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC. ICA 2004: 618-625 |
30 | EE | Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen: Pruning The Vocabulary For Better Context Recognition. ICPR (2) 2004: 483-488 |
29 | EE | Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen: Mapping from Speech to Images Using Continuous State Space Models. MLMI 2004: 136-145 |
28 | EE | Rasmus Kongsgaard Olsson, Lars Kai Hansen: A Harmonic Excitation State-Space Approach to Blind Separation of Speech. NIPS 2004 |
27 | EE | Finn Årup Nielsen, Lars Kai Hansen: Finding related functional neuroimaging volumes. Artificial Intelligence in Medicine 30(2): 141-151 (2004) |
2002 | ||
26 | Ana S. Lukic, Lars Kai Hansen, Miles N. Wernick, Stephen C. Strother: An ICA algorithm for analyzing multiple data sets. ICIP (2) 2002: 821-824 | |
25 | EE | Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, Jon Anderson, Stephen C. Strother: A spatially robust ICA algorithm for multiple fMRI data sets. ISBI 2002: 839-842 |
24 | Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen: Exploring fMRI data for periodic signal components. Artificial Intelligence in Medicine 25(1): 35-44 (2002) | |
23 | EE | Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Mean-Field Approaches to Independent Component Analysis. Neural Computation 14(4): 889-918 (2002) |
22 | EE | Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Analysis of functional neuroimages using ICA with adaptive binary sources. Neurocomputing 49(1-4): 213-225 (2002) |
2000 | ||
21 | Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Ensemble Learning and Linear Response Theory for ICA. NIPS 2000: 542-548 | |
20 | Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother: Generalizable Singular Value Decomposition for Ill-posed Datasets. NIPS 2000: 549-555 | |
19 | Cyril Goutte, Finn Årup Nielsen, Lars Kai Hansen: Modelling the Haemodynamic Response in fMRI with Smooth FIR Filters. IEEE Trans. Med. Imaging 19(12): 1188-1201 (2000) | |
1999 | ||
18 | EE | Lars Kai Hansen: Bayesian Averaging is Well-Temperated. NIPS 1999: 265-271 |
17 | EE | Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen: Bayesian Modelling of fMRI lime Series. NIPS 1999: 754-760 |
16 | Ulrik Kjems, Stephen C. Strother, Jon Anderson, Ian Law, Lars Kai Hansen: Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. IEEE Trans. Med. Imaging 18(4): 306-319 (1999) | |
1998 | ||
15 | Jens E. Wilhjelm, M.-L. M. Grønholdt, B. Wiebe, S. K. Jespersen, Lars Kai Hansen, H. Sillesen: Quantitative Analysis of Ultrasound B-mode images of Carotid Atherosclerotic Plaque: Correlation with Visual Classification and Histological Examination. IEEE Trans. Med. Imaging 17(6): 910-922 (1998) | |
14 | EE | 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): 1659-1670 (1998) |
1997 | ||
13 | Niels Mørch, Lars Kai Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, Robert L. Savoy, Olaf B. Paulson: Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover. IPMI 1997: 259-270 | |
12 | EE | Finn Årup Nielsen, Lars Kai Hansen: Interactive Information Visualization in Neuroimaging. Workshop on New Paradigms in Information Visualization and Manipulation 1997: 62-65 |
11 | EE | Jan Gorodkin, Lars Kai Hansen, Benny Lautrup, Sara A. Solla: Universal Distribution of Saliencies for Pruning in Layered Neural Networks. Int. J. Neural Syst. 8(5-6): 489-498 (1997) |
10 | EE | Cyril Goutte, Lars Kai Hansen: Regularization with a Pruning Prior. Neural Networks 10(6): 1053-1059 (1997) |
1996 | ||
9 | EE | Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen: Adaptive Regularization in Neural Network Modeling. Neural Networks: Tricks of the Trade 1996: 113-132 |
8 | EE | Lars Kai Hansen, Jan Larsen: Linear unlearning for cross-validation. Adv. Comput. Math. 5(1): 269-280 (1996) |
1995 | ||
7 | EE | Morten With Pedersen, Lars Kai Hansen, Jan Larsen: Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS. NIPS 1995: 521-527 |
1994 | ||
6 | EE | Morten With Pedersen, Lars Kai Hansen: Recurrent Networks: Second Order Properties and Pruning. NIPS 1994: 673-680 |
5 | EE | Lars Kai Hansen: Book Review: "Time Series Prediction: Forecasting the Future and Understanding the Past", Eds. Andreas S. Weigend and Neil A. Gershenfeld. Int. J. Neural Syst. 5(2): 157-158 (1994) |
1993 | ||
4 | EE | Peter Salamon, John C. Wootton, Andrzej K. Konopka, Lars Kai Hansen: On the Robustness of Maximum Entropy Relationships for Complexity Distributions of Nucleotide Sequences. Computers & Chemistry 17(2): 135-148 (1993) |
3 | EE | Jan Gorodkin, Lars Kai Hansen, Anders Krogh, Claus Svarer, Ole Winther: A Quantitative Study Of Pruning By Optimal Brain Damage. Int. J. Neural Syst. 4(2): 159-169 (1993) |
2 | EE | Lars Kai Hansen: Stochastic linear learning: Exact test and training error averages. Neural Networks 6(3): 393-396 (1993) |
1990 | ||
1 | EE | Lars Kai Hansen, Peter Salamon: Neural Network Ensembles. IEEE Trans. Pattern Anal. Mach. Intell. 12(10): 993-1001 (1990) |