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- László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk
- Springer series in statistics
- 2002

- Lei Xu, Adam Krzyzak, Ching Y. Suen
- IEEE Trans. Systems, Man, and Cybernetics
- 1992

Method of combining the classification powers of several classifiers is regarded as a general problem in various application areas of pattern recognition, and a systematic investigation has been made. Possible solutions to the problem can be divided into three categories according to the levels of information available from the various classifiers. Four… (More)

- Lei Xu, Adam Krzyzak, Erkki Oja
- IEEE Trans. Neural Networks
- 1993

It is shown that frequency sensitive competitive learning (FSCL), one version of the recently improved competitive learning (CL) algorithms, significantly deteriorates in performance when the number of units is inappropriately selected. An algorithm called rival penalized competitive learning (RPCL) is proposed. In this algorithm, not only is the winner… (More)

- Xinming Yu, Tien D. Bui, Adam Krzyzak
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1994

- Balázs Kégl, Adam Krzyzak
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2000

We propose an algorithm to find piecewise linear skeletons of hand-written characters by using principal curves. The development of the method was inspired by the apparent similarity between the definition of principal curves (smooth curves which pass through the “middle” of a cloud of points) and the medial axis (smooth curves that go equidistantly from… (More)

- Guangyi Chen, Tien D. Bui, Adam Krzyzak
- 2004 IEEE International Conference on Acoustics…
- 2004

The denoising of a natural image corrupted by Gaussian noise is a classical problem in signal or image processing. Donoho and his coworkers at Stanford pioneered a wavelet denoising scheme by thresholding the wavelet coefficients arising from the standard discrete wavelet transform. This work has been widely used in science and engineering applications.… (More)

- Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
- IEEE Transactions on Pattern Analysis and Machine…
- 2005

Training a support vector machine on a data set of huge size with thousands of classes is a challenging problem. This paper proposes an efficient algorithm to solve this problem. The key idea is to introduce a parallel optimization step to quickly remove most of the nonsupport vectors, where block diagonal matrices are used to approximate the original… (More)

- Guangyi Chen, Tien D. Bui, Adam Krzyzak
- Pattern Recognition
- 2005

- Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
- Pattern Recognition Letters
- 2005

- Luc Devroye, Adam Krzyzak
- 1989

We show that all modes of convergence in Lt (in probability, almost surely, complete) for the standard kernel regression estimate are equivalent. AMS Subject Classification: Primary 62605.