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Luís G. Rueda: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Luís G. Rueda, B. John Oommen
    On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data. [Citation Graph (0, 0)][DBLP]
    ADVIS, 2004, pp:234-244 [Conf]
  2. Luís G. Rueda, B. John Oommen
    Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2001, pp:25-36 [Conf]
  3. Luís G. Rueda
    A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier. [Citation Graph (0, 0)][DBLP]
    CIARP, 2003, pp:521-528 [Conf]
  4. Luís G. Rueda
    New Bounds and Approximations for the Error of Linear Classifiers. [Citation Graph (0, 0)][DBLP]
    CIARP, 2004, pp:342-349 [Conf]
  5. B. John Oommen, Luís G. Rueda
    Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2001, pp:320-326 [Conf]
  6. Luís G. Rueda, Li Qin
    An Improved Clustering-Based Approach for DNA Microarray Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:17-24 [Conf]
  7. Luís G. Rueda, Li Qin
    A New Method for DNA Microarray Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:886-893 [Conf]
  8. Luís G. Rueda, Vidya Vidyadharan
    A New Approach to Automatically Detecting Grids in DNA Microarray Images. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:982-989 [Conf]
  9. Luís G. Rueda, B. John Oommen
    Efficient Adaptive Data Compression Using Fano Binary Search Trees. [Citation Graph (0, 0)][DBLP]
    ISCIS, 2005, pp:768-779 [Conf]
  10. B. John Oommen, Luís G. Rueda
    On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions. [Citation Graph (0, 0)][DBLP]
    KI, 2005, pp:107-120 [Conf]
  11. B. John Oommen, Luís G. Rueda
    Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:45-58 [Conf]
  12. Luís G. Rueda
    An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks. [Citation Graph (0, 0)][DBLP]
    PRIS, 2003, pp:88-95 [Conf]
  13. B. John Oommen, Luís G. Rueda
    A New Family of Weak Estimators for Training in Non-stationary Distributions. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:644-652 [Conf]
  14. B. John Oommen, Luís G. Rueda
    A formal analysis of why heuristic functions work. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2005, v:164, n:1-2, pp:1-22 [Journal]
  15. B. John Oommen, Luís G. Rueda
    The Efficiency of Histogram-like Techniques for Database Query Optimization. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2002, v:45, n:5, pp:494-510 [Journal]
  16. Luís G. Rueda, B. John Oommen
    A nearly-optimal Fano-based coding algorithm. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2004, v:40, n:2, pp:257-268 [Journal]
  17. Luís G. Rueda, B. John Oommen
    On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:2, pp:274-280 [Journal]
  18. Luís G. Rueda
    An efficient approach to compute the threshold for multi-dimensional linear classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:4, pp:811-826 [Journal]
  19. Luís G. Rueda, B. John Oommen
    On optimal pairwise linear classifiers for normal distributions: the d-dimensional case. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:1, pp:13-23 [Journal]
  20. Luís G. Rueda
    Selecting the best hyperplane in the framework of optimal pairwise linear classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:1, pp:49-62 [Journal]

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