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- Peter L. Bartlett, Tamás Linder, Gábor Lugosi
- IEEE Trans. Information Theory
- 1998

We obtain minimax lower and upper bounds for the expected distortion redundancy of empirically designed vector quantizers. We show that the mean squared distortion of a vector quantizer designed from… (More)

- Tamás Linder, Kenneth Zeger
- IEEE Trans. Information Theory
- 1994

H. Yamamoto and K. Itoh, “Viterbi decoding algorithm for convolutional codes with repeat request,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 540-547. Sept. 1980. R. J. F. Fang, “Lower bounds on… (More)

- András György, Tamás Linder
- IEEE Trans. Information Theory
- 2002

The nearest neighbor condition implies that when searching for a mean-square optimal fixed-rate quantizer it is enough to consider the class of regular quantizers, i.e., quantizers having convex… (More)

- Tamás Linder, Ram Zamir, Kenneth Zeger
- IEEE Trans. Information Theory
- 1999

Entropy-coded vector quantization is studied using high-resolution multidimensional companding over a class of nondifference distortion measures. For distortion measures which are “locally quadratic”… (More)

- Tamás Linder, Gábor Lugosi
- IEEE Trans. Information Theory
- 2001

We consider adaptive sequential lossy coding of bounded individual sequences when the performance is measured by the sequentially accumulated mean-squared distortion. The encoder and the decoder are… (More)

- Tamás Linder, Ram Zamir
- IEEE Trans. Information Theory
- 1999

The problem of asymptotic (i.e., low-distortion) behavior of the rate-distortion function of a random vector is investigated for a class of non-difference distortion measures. The main result is an… (More)

- Adam Krzyzak, Tamás Linder
- NIPS
- 1996

In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function network. Our approach… (More)

- Tamás Linder, Ram Zamir
- IEEE Trans. Information Theory
- 1994

New results are proved on the convergence of the Shannon lower bound to the rate distortion function as the distortion decreases to zero. The key convergence result is proved using a fundamental… (More)

- András Faragó, Tamás Linder, Gábor Lugosi
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1993

- Robert M. Gray, Tamás Linder
- IEEE Trans. Information Theory
- 2003

Abstract Bucklew’s high rate vector quantizer mismatch result is extended from fixed-rate coding to variable rate coding using a Lagrangian formulation. It is shown that if an asymptotically (high… (More)