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Träfflista för sökning "WFRF:(Borga Magnus) ;pers:(Knutsson Hans)"

Sökning: WFRF:(Borga Magnus) > Knutsson Hans

  • Resultat 1-10 av 74
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  • Borga, Magnus, et al. (författare)
  • A Binary Competition Tree for Reinforcement Learning
  • 1994
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • A robust, general and computationally simple reinforcement learning system is presented. It uses a channel representation which is robust and continuous. The accumulated knowledge is represented as a reward prediction function in the outer product space of the input- and output channel vectors. Each computational unit generates an output simply by a vector-matrix multiplication and the response can therefore be calculated fast. The response and a prediction of the reward are calculated simultaneously by the same system, which makes TD-methods easy to implement if needed. Several units can cooperate to solve more complicated problems. A dynamic tree structure of linear units is grown in order to divide the knowledge space into a sufficiently number of regions in which the reward function can be properly described. The tree continuously tests split- and prune criteria in order to adapt its size to the complexity of the problem.
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  • Borga, Magnus, 1965-, et al. (författare)
  • A canonical correlation approach to exploratory data analysis in fMRI
  • 2002
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • A computationally efficient data-driven method for exploratory analysis of functional MRI data is presented. The basic idea is to reveal underlying components in the fMRI data that have maximum autocorrelation. The tool for accomplishing this task is Canonical Correlation Analysis. The proposed method is more robust and much more computationally efficient than independent component analysis, which previously has been applied in fMRI.
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  • Borga, Magnus, et al. (författare)
  • A Unified Approach to PCA, PLS, MLR and CCA
  • 1997
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This paper presents a novel algorithm for analysis of stochastic processes. The algorithm can be used to find the required solutions in the cases of principal component analysis (PCA), partial least squares (PLS), canonical correlation analysis (CCA) or multiple linear regression (MLR). The algorithm is iterative and sequential in its structure and uses on-line stochastic approximation to reach an equilibrium point. A quotient between two quadratic forms is used as an energy function and it is shown that the equilibrium points constitute solutions to the generalized eigenproblem.
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  • Borga, Magnus, et al. (författare)
  • An Adaptive Stereo Algorithm Based on Canonial Correlation Analysis
  • 1998
  • Ingår i: Proceedings of the Second IEEE International Conference on Intelligent Processing Systems. ; , s. 177-182
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents a novel algorithm that uses CCA and phase analysis to detect the disparity in stereo images. The algorithm adapts filters in each local neighbourhood of the image in a way which maximizes the correlation between the filtered images. The adapted filters are then analysed to find the disparity. This is done by a simple phase analysis of the scalar product of the filters. The algorithm can even handle cases where the images have different scales. The algorithm can also handle depth discontinuities and give multiple depth estimates for semitransparent images.
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  • Borga, Magnus, et al. (författare)
  • Estimating Multiple Depths in Semi-transparent Stereo Images
  • 1999
  • Ingår i: Proceedings of the 11th Scandinavian Conference on Image Analysis.
  • Konferensbidrag (refereegranskat)abstract
    • A stereo algorithm that can estimate multiple depths in semi-transparent images is presented. The algorithm is based on a combination of phase analysis and canonical correlation analysis. The algorithm adapts filters in each local neighbourhood of the image in a way which maximizes the correlation between the filtered images. The adapted filters are then analysed to find the disparity. This is done by a simple phase analysis of the scalar product of the filters. For images with different but constant depths, a simple reconstruction procedure is suggested.
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  • Resultat 1-10 av 74
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Borga, Magnus, 1965- (40)
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