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Research

Dr Kwang In Kim

Formerly at Lancaster University

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  1. Published

    Recognition of facial images using support vector machines

    Kim, K. I., Kim, J. H. & Jung, K., 2001, Proc. IEEE Workshop on Statistical Signal Processing. p. 468-471 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  2. Published

    Face recognition using kernel principal component analysis

    Kim, K. I., Jung, K. & Kim, H. J., 2002, In: IEEE Signal Processing Letters. 9, 2, p. 40-42 3 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Face recognition using support vector machines with local correlation kernels

    Kim, K. I., Jung, K. & Kim, J. H., 2002, In: International Journal of Pattern Recognition and Artificial Intelligence. 16, 1, p. 97-111 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Support vector machines for texture classification

    Kim, K. I., Jung, K., Park, S. H. & Kim, H. J., 2002, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 11, p. 1542-1550 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Kernel Hebbian algorithm for iterative kernel principal component analysis

    Kim, K. I., Franz, M. O. & Schölkopf, B., 1/06/2003, Max Planck Institute for Biological Cybernetics, p. 1-13, 14 p. (Technical Reports; no. 109).

    Research output: Working paper

  6. Published

    Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm

    Kim, K. I., Jung, K. & Kim, J. H., 2003, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 25, 12, p. 1631-1639 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Kernel Hebbian algorithm for single-frame super-resolution

    Kim, K. I., Franz, M. O. & Schölkopf, B., 2004, Statistical Learning in Computer Vision, ECCV 2004 Workshop, Prague, Czech Republic, May 2004. Leonardis, A. & Bischof, H. (eds.). Tubingen, Germany: Max Planck Institute fur biologische Kybernetik, p. 135-149 15 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Example-based learning for image super-resolution

    Kim, K. I., Kim, D. & Kim, J. H., 2004, Proc. the third Tsinghua-KAIST Joint Workshop on Pattern Recognition. p. 140-148 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Fast color texture-based object detection in images: application to license plate localization

    Kim, K. I., Jung, K. & Kim, J. H., 2005, Support vector machines: theory and applications. Wang, L. (ed.). Springer Verlag, p. 297-320 24 p. (Studies in Fuzziness and Soft Computing).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  10. Published

    Learning to remove JPEG artifacts

    Kim, K. I., Kwon, Y., Kim, D. & Kim, J-H., 2005, Proc. Korea Information Science Society Conference. p. 778-780 3 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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