J. Arenas-garcía, E. Parrado-hernández, A. Meng, L. K. Hansen, J. Larsen
Automatic methods for music navigation and music recommendation exploit the structure in the music to carry out a meaningful exploration of the “song space”. To get a satisfactory performance...
J. Arenas-garcía, E. Parrado-hernández, A. Meng, L. K. Hansen, J. Larsen
Automatic methods for music navigation and music recommendation exploit the structure in the music to carry out a meaningful exploration of the “song space”. To get a satisfactory performance...
Neural networks for modeling and control of dynamic (2008)
M. Nhrgaard, O. Ravn, N. K. Poulsen, L. K. Hansen
& Ersue, 1992) publisheda few years back on the subject of neurocontrol. The subject of neural networks for modeling and control of dynamical systems represents an important area of applications...
Perfusion Quantification Using Gaussian Process (2008)
I. K. Andersen, A. Szymkowiak, C. E. Rasmussen, L. G. Hanson, J. R. Marstr, ...
The quantification of perfusion using dynamic susceptibility contrast MRI (DSC-MRI) requires deconvolution to obtain the residual impulse response function (IRF). In this work, a method using the...
L. K. Hansen, C. Sva, E. Rostrup, Mo Delling, Denma Rk
Space-time analysis of fMRI by feature space clustering
Discovering music structure via similarity fusion (2007)
Arenas-García, J., Parrado-Hernandez, E., Meng, Anders, Larsen, Jan, Hansen, L.K.
Automatic methods for music navigation and music recommendation exploit the structure in the music to carry out a meaningful exploration of the “song space”. To get a satisfactory performance...
J. Gorodkin, L. K. Hansen, B. Lautrup, S. A. Solla
A better understanding of pruning methods based on a ranking of weights according to their saliency in a trained network requires further information on the statistical properties of such saliencies....
Correlation Between Ultrasound B-mode Images of Carotid Plaque and Histological Examination (2007)
S. K. Jespersen, J. E. Wilhjelm, B. Wiebe, L. K. Hansen, H. Sillesen
This paper reports on a study on 69 patients where image features extracted from B-mode ultrasound images of atherosclerotic plaque in the carotid arteries were compared to histological results...
Universal Distribution of Saliencies for Pruning in Layered Neural Networks (2007)
J. Gorodkin, Lars Kai Hansen, L. K. Hansen, Benny Lautrup, S. A. Solla
A better understanding of pruning methods based on a ranking of weights according to their saliency in a trained network requires further information on the statistical properties of such saliencies....
I. K. Andersen, A. Szymkowiak, C. Rasmussen A, L. G. Hanson, J. R. Marshr, ...
The quantification of perfusion using dynamic susceptibility contrast MR imaging requires deconvolution to obtain the residual impulse-response function (IRF). Here, a method us-ing a Gaussian...
Modelling the fMRI response using smooth FIR lters (2007)
A. Nielsen, C. Goutte, L. K. Hansen
We describe a exible semi-parametric linear time-invariant convolution model for the fMRI response. It extends the FIR model [1] with a Gaussian process prior over the parameters (the FIR coecients)....
T. L. Fog, L. K. Hansen, J. Larsen, H. S. Hansen, L. B. Madsen, P. Srensen, ...
Abstract. The feasibility of non-invasive characterisation of exhaust valve conditions in large marine diesel engines, were experimentally investigated on a four cylinder 500 mm bore 2-stroke marine...
J. Larsen, L. K. Hansen, C. Svarer, M. Ohlsson
Abstract- In this paper we derive novel algorithms for estimation of regularization parameters and for optimization of neural net architectures based on a validation set. Regularization parameters...
C. Goutte, F. A. Nielsen, C. Svarer, E. Rostrup, L. K. Hansen, Rigshospitalet Denmark
Feature-space clustering The high temporal resolution of fMRI has inspired a host of single-voxel analysis methods. They typically compute some summary statistics characterising the temporal response...
F. A. Nielsen, L. K. Hansen, S. Strother
A number of linear multivariate statistical models have been applied for the analysis of functional images.
P. Toft, L. K. Hansen, F. A. Nielsen, S. C. Strother, N. Lange, N. Mrch, ...
5, B. Rosen 5, E. Rostrup 6, P. Born
"lyngby "-- a modeler's Matlab toolbox for spatio-temporal (2007)
L. K. Hansen, F. A. Nielsen, P. Toft, C. Goutte, S. C. Strother, N. Lange
analysis of functional neuroimages
F. A. Nielsen, C. Goutte, L. K. Hansen
The fMRI signal is often modeled from a system identification point of view as a linear response to the activation reference function. A number of different impulse response functions have been...
C. Goutte, L. K. Hansen, S. C. Strother
Delay analysis The high temporal resolution of fMRI allows to supplement the spatial analysis of the hemodynamic response to focal neuronal activation with a study of the temporal response in each...
A Genre Classification Plug-in for Data Collection (2006)
Lehn-Schiøler, Tue, Arenas-Garcia, J, Petersen, K.B., Hansen, L.K.
This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plug-in for a popular media...
Linear State-space Models for Blind Source Separation (2006)
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation and...
Cogito Componentiter Ergo Sum (2006)
Cognitive component analysis (COCA) is defined as the process of unsupervised grouping of data such that the ensuing group structure is well-aligned with that resulting from human cognitive activity....
Basic Research in Thermionic Energy Conversion. (2005)
The report presents the results of the past year's work in a continuing program to investigate basic processes in thermionic energy conversion. The subjects discussed are: Theoretical considerations...
BASIC RESEARCH IN THERMIONIC ENERGY CONVERSION. (2005)
This report presents the results of the past year's work in a continuing program to investigate basic processes in thermionic energy conversion important to a thermionic nuclear power plant for naval...
BASIC RESEARCH IN THERMIONIC ENERGY CONVERSION. (2005)
This report presents the results of the past year's work in a continuing program to investigate basic processes in thermionic energy conversion important to a thermionic nuclear power plant for naval...
ICA of functional MRI data: An overview (2003)
T. Adali, L. K. Hansen, J. Larsen, J. J. Pekar
Independent component analysis (ICA) has found a fruitful application in the analysis of functional magnetic resonance imaging (fMRI) data. A principal advantage of this approach is its applicability...
ICA of functional MRI data: An overview (2003)
T. Adali, L. K. Hansen, J. Larsen, J. J. Pekar
Independent component analysis (ICA) has found a fruitful application in the analysis of functional magnetic resonance imaging (fMRI) data. A principal advantage of this approach is its applicability...
Probabilistic hierarchical clustering with labeled and unlabeled data (2002)
J. Larsen, A. Szymkowiak, L. K. Hansen
Abstract. This paper presents hierarchical probabilistic clustering methods for unsupervised and supervised learning in datamining applications, where supervised learning is performed using both...
Outlier Estimation And Detection (2002)
Application To Skin, S. Sigurdsson, J. Larsen, L. K. Hansen
We extend MacKays Bayesian approach to neural classifiers to include an outlier detector mechanism. We show that the outlier detector can locate misclassified samples.
Impuating missing values in diary records of sun-exposure study (2001)
A. Szymkowiak, P. A. Philipsen, J. Larsen, L. K. Hansen, E. Thieden, H. C. Wulf
Abstract. In a sun-exposure study, questionnaires concerning sunhabits were collected from 195 subjects. This paper focuses on the general problem of missing data values, which occurs when some, or...
Modelling the fMRI response using smooth FIR filters (2000)
Finn Årup Nielsen, A. Nielsen, Lars Kai Hansen, Cyril Goutte, L. K. Hansen
Introduction We describe a flexible semi-parametric linear time-invariant convolution model for the fMRI response. It extends the FIR model [1] with a Gaussian process prior over the parameters (the...
Functional Volumes Modeling using Kernel Density Estimation (2000)
Introduction We describe a method based on kernel density estimation (also called Parzen window density estimation) for metaanalysis of brain maps, so-called functional volumes modeling (FVM) [1, 2]....
BASIC RESEARCH IN THERMIONIC ENERGY CONVERSION (1998)
This report presents the results of the past year's work in a continuing program to investigate basic processes in thermionic energy conversion important to a thermionic nuclear power plant for naval...
BASIC RESEARCH IN THERMIONIC ENERGY CONVERSION. (1998)
The report presents the result of work in a continuing program to investigate basic processes in thermionic energy conversion. It is primarily based on papers that were given at various thermionic...
Neuroinformatics based on VRML (1998)
Finn Årup Nielsen, Lars Kai Hansen, F. A. Nielsen, L. K. Hansen
he figure we show an example of an environment summarizing and linking brain map data from a number of experiments in a "value added" Talairach frame of reference. Fiducial markers, grid...
Adaptive Regularization of Neural Classifiers (1997)
L. Nonboe Andersen, J. Larsen, L. K. Hansen, M. Hintz-madsen
Abstract. In this paper we present a regularization scheme which iteratively adapts the regularization parameters by minimizing the validation error. It is suggested to use the adaptive...
Adaptive regularization (1994)
L. K. Hansen, C. E. Rasmussen, C. Svarer, J. Larsen
Abstract. Regularization, e.g., in the form of weight decay, is important for training and optimization of neural network architectures. In this work we provide a tool based on asymptotic sampling...
Extremely Ill-posed Learning (1994)
L. K. Hansen, B. Lautrup, I. Law, N. Mørch, J. Thomsen
Extremely ill-posed learning problems are common in image and spectral analysis. They are characterized by a vast number of highly correlated inputs, e.g. pixel or pin values, and a modest number of...
F. ˚a. Nielsen, L. K. Hansen, U. Kjems
We make statistical meta-analytic modeling of locations from BrainMap [1] describing the relationship between the 3D Talairach coordinates and the anatomical labels, which enable us to make automated...
Designer networks for time series processing (1993)
C. Svarer, L. K. Hansen, J. Larsen, C. E. Rasmussen
The conventional Tapped-Delay Neural Net [14] may be analyzed using statistical methods and the results of such analysis can be applied to model optimization. In this presentation we review and...
Dela Yanalysis, L. K. Hansen, R. Savo, S. C. Strother, Mo Delling
time series
OBEL, DORIT, HANSEN, L. K., HÜTTEL, M. S., ANDERSEN, P. K.
Fifty-one patients undergoing cholecystectomy received a single dose of buprenorphine 4.5-12 μg kg−1 at induction. Median duration of analgesia after surgery was 6 h. Multiple regression analysis...
Hansen, L K, Mooney, D J, Vacanti, J P, Ingber, D E
This study was undertaken to determine the importance of integrin binding and cell shape changes in the control of cell-cycle progression by extracellular matrix (ECM). Primary rat hepatocytes were...
Extracellular matrix controls tubulin monomer levels in hepatocytes by regulating protein turnover.
Mooney, D J, Hansen, L K, Langer, R, Vacanti, J P, Ingber, D E
Cells have evolved an autoregulatory mechanism to dampen variations in the concentration of tubulin monomer that is available to polymerize into microtubules (MTs), a process that is known as tubulin...
Hansen, L K, Mooney, D J, Vacanti, J P, Ingber, D E
This study was undertaken to determine the importance of integrin binding and cell shape changes in the control of cell-cycle progression by extracellular matrix (ECM). Primary rat hepatocytes were...
Extracellular matrix controls tubulin monomer levels in hepatocytes by regulating protein turnover.
Mooney, D J, Hansen, L K, Langer, R, Vacanti, J P, Ingber, D E
Cells have evolved an autoregulatory mechanism to dampen variations in the concentration of tubulin monomer that is available to polymerize into microtubules (MTs), a process that is known as tubulin...