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Guest Editorial for Special Issue on Machine Learning for Signal Processing

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References

  1. S. Kaski and J. Sinkkonen, “Principle of Learning Metrics for Exploratory Data Analysis,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 177-188.

    Article  Google Scholar 

  2. N. Ueda and M. Inoue, “Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 189-197.

    Article  MATH  Google Scholar 

  3. J. Browning and D.J. Miller, “A Maximum Entropy Approach for Collaborative Filtering,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 199-209.

    Article  MATH  Google Scholar 

  4. M. M. Van Hulle and T. Gautama, “Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 211-222.

    Article  Google Scholar 

  5. A. Navia-Vázquez, F. Pérez-Cruz, A. Artés-Rodríguez, and A.R. Figueiras-Vidal, “Advantages of Unbiased Support Vector Classifiers for Data Mining Applications,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 223-235.

    Article  MATH  Google Scholar 

  6. R. Srikanchana, J. Xuan, M.T. Freedman, C.C. Nguyen, and Y. Wang, “Non-Rigid Image Registration by Neural Computation,” Journal of VLSI Signal Processing, vol. 37, nos. 2/3, 2004, pp. 237-246.

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Electrical Engineering, The Pennsylvania State University, University Park, PA

    David J. Miller

  2. Dept. of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD

    Tulay Adalı

  3. Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark

    Jan Larsen

  4. Laboratorium voor Neuroen Psychofysiologie, Katholieke Universiteit Leuven, Leuven, Belgium

    Marc M. Van Hulle

Authors
  1. David J. Miller
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  2. Tulay Adalı
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  3. Jan Larsen
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  4. Marc M. Van Hulle
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Miller, D.J., Adalı, T., Larsen, J. et al. Guest Editorial for Special Issue on Machine Learning for Signal Processing. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 37, 171–175 (2004). https://doi.org/10.1023/B:VLSI.0000027552.53840.08

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  • DOI: https://doi.org/10.1023/B:VLSI.0000027552.53840.08

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