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Adam Krzyzak: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shuo Li, Thomas Fevens, Adam Krzyzak
    A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:207-212 [Conf]
  2. Adam Krzyzak, Ewa Skubalska-Rafajlowicz
    Combining Space-Filling Curves and Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:229-234 [Conf]
  3. Adam Krzyzak, Dominik Schäfer
    Nonlinear Function Learning by the Normalized Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:46-55 [Conf]
  4. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    A Multi-Net Local Learning Framework for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:328-332 [Conf]
  5. Jian-xiong Dong, Dominique Ponson, Adam Krzyzak, Ching Y. Suen
    Cursive word skew/slant corrections based on Radon transform. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2005, pp:478-483 [Conf]
  6. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Invariant Ridgelet-Fourier Descriptor for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:768-771 [Conf]
  7. Balázs Kégl, Adam Krzyzak
    Piecewise Linear Skeletonization Using Principal Curves. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3135-3138 [Conf]
  8. Balázs Kégl, Adam Krzyzak, Heinrich Niemann
    Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2081-2086 [Conf]
  9. Adam Krzyzak, Rolf Unbehauen
    On Estimation of Nonlinear Systems by Nonparametric Techniques. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:189-192 [Conf]
  10. Shuo Li, Thomas Fevens, Adam Krzyzak
    Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2004, pp:160-167 [Conf]
  11. Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
    Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:670-678 [Conf]
  12. Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
    Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2006, pp:766-773 [Conf]
  13. Adam Krzyzak
    Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    MLDM, 2001, pp:217-225 [Conf]
  14. Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
    Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:314-324 [Conf]
  15. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    Local Learning Framework for Recognition of Lowercase Handwritten Characters. [Citation Graph (0, 0)][DBLP]
    MLDM, 2001, pp:226-238 [Conf]
  16. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    A Fast Parallel Optimization for Training Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:96-105 [Conf]
  17. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, Dominique Ponson
    Low-Level Cursive Word Representation Based on Geometric Decomposition. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:590-599 [Conf]
  18. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
    A Polygonal Line Algorithm for Constructing Principal Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:501-507 [Conf]
  19. Adam Krzyzak, Tamás Linder
    Radial Basis Function Networks and Complexity Regularization in Function Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:197-203 [Conf]
  20. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    A Fast SVM Training Algorithm. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:53-67 [Conf]
  21. Jie Zhou, Qiang Gan, Adam Krzyzak, Ching Y. Suen
    Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. [Citation Graph (0, 0)][DBLP]
    IJDAR, 1999, v:2, n:1, pp:30-36 [Journal]
  22. Lei Xu, Adam Krzyzak, Erkki Oja
    Neural Nets for Dual Subspace Pattern Recognition Method. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:3, pp:169-184 [Journal]
  23. Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
    A Fast SVM Training Algorithm. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:3, pp:367-384 [Journal]
  24. Lei Xu, Adam Krzyzak, Alan L. Yuille
    On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:4, pp:609-628 [Journal]
  25. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Rotation invariant feature extraction using Ridgelet and Fourier transforms. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2006, v:9, n:1, pp:83-93 [Journal]
  26. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    Fast SVM Training Algorithm with Decomposition on Very Large Data Sets. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:4, pp:603-618 [Journal]
  27. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
    Learning and Design of Principal Curves. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:3, pp:281-297 [Journal]
  28. Balázs Kégl, Adam Krzyzak
    Piecewise Linear Skeletonization Using Principal Curves. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:1, pp:59-74 [Journal]
  29. Xinming Yu, T. D. Bui, Adam Krzyzak
    Robust Estimation for Range Image Segmentation and Reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:5, pp:530-538 [Journal]
  30. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Contour-based handwritten numeral recognition using multiwavelets and neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:7, pp:1597-1604 [Journal]
  31. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Image denoising with neighbour dependency and customized wavelet and threshold. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:1, pp:115-124 [Journal]
  32. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2314-2322 [Journal]
  33. Jie Zhou, Adam Krzyzak, Ching Y. Suen
    Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:5, pp:1179-1189 [Journal]
  34. Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
    An improved handwritten Chinese character recognition system using support vector machine. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:12, pp:1849-1856 [Journal]
  35. Michael Kohler, Adam Krzyzak
    Nonparametric regression estimation using penalized least squares. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:7, pp:3054-3059 [Journal]
  36. Adam Krzyzak
    The rates of convergence of kernel regression estimates and classification rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1986, v:32, n:5, pp:668-679 [Journal]
  37. Adam Krzyzak
    On estimation of a class of nonlinear systems by the kernel regression estimate. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1990, v:36, n:1, pp:141-152 [Journal]
  38. Adam Krzyzak
    On exponential bounds on the Bayes risk of the kernel classification rule. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1991, v:37, n:3, pp:490-499 [Journal]
  39. Adam Krzyzak
    Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:4, pp:1323-1338 [Journal]
  40. Adam Krzyzak, Miroslaw Pawlak
    Distribution-free consistency of a nonparametric kernel regression estimate and classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1984, v:30, n:1, pp:78-81 [Journal]
  41. Adam Krzyzak, Miroslaw Pawlak
    Almost everywhere convergence of a recursive regression function estimate and classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1984, v:30, n:1, pp:91-0 [Journal]
  42. Adam Krzyzak, D. Schafer
    Nonparametric regression estimation by normalized radial basis function networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:3, pp:1003-1010 [Journal]
  43. Miroslaw Pawlak, Ewaryst Rafajlowicz, Adam Krzyzak
    Postfiltering versus prefiltering for signal recovery from noisy samples. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2003, v:49, n:12, pp:3195-3212 [Journal]
  44. Guangyi Chen, Tien D. Bui, Adam Krzyzak
    Palmprint Classification using Dual-Tree Complex Wavelets. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2645-2648 [Conf]
  45. Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li
    Semi-automatic computer aided lesion detection in dental X-rays using variational level set. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:10, pp:2861-2873 [Journal]

  46. Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. [Citation Graph (, )][DBLP]


  47. Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates. [Citation Graph (, )][DBLP]


  48. Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator. [Citation Graph (, )][DBLP]


  49. On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization. [Citation Graph (, )][DBLP]


  50. Cell Phones Personal Authentication Systems Using Multimodal Biometrics. [Citation Graph (, )][DBLP]


  51. Automated Multimodal Biometrics Using Face and Ear. [Citation Graph (, )][DBLP]


  52. Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking. [Citation Graph (, )][DBLP]


  53. A new courtesy amount recognition module of a Check Reading System. [Citation Graph (, )][DBLP]


  54. Effective shrinkage of large multi-class linear svm models for text categorization. [Citation Graph (, )][DBLP]


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