Searching for authors named "Joos Vandewalle" – sorted by Relevance.
116 documents found, showing 1 through 10.
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A QSVD approach to on- and off-line state-space identification
- … In an earlier paper (Moonen et al. 1989), an identification scheme has been presented, for computing state space models for multivariable linear time-invariant systems making use of (possibly noisy) input-output measurements only. This procedure is heavily based on the singular value decomposition…
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An adaptive chosen ciphertext attack on a variation of the Cramer-Shoup public-key encryption scheme
- …Introduction: In [1] a new public-key encryption scheme was proposed. It is a (simpler) variation of the Cramer-Shoup public-key encryption scheme as proposed in [2]. The Cramer-Shoup scheme has as main advantage that it is provable secure against adaptive chosen ciphertext attacks, under the assump…
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Automatic Design of Cellular Neural Networks by means of Genetic Algorithms: Finding a Feature Detector
- …This paper aims to examine the use of genetic algorithms to optimize subsystems of cellular neural network architectures. The application at hand is character recognition: the aim is to evolve an optimal feature detector in order to aid a conventional classifier network to generalize across differen…
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A hexagonally connected processor array for Jacobi-type matrix algorithms
- …Indexing terms : Parallel algorithms, systolic arrays, matrix computation Jacobi-type matrix algorithms are mostly implemented on orthogonally connected processor arrays. In this letter, an alternative partitioning is described, resulting in a grid of hexagonally connected processors. This partitio…
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System Modeling using Composition Networks
- …We present a new approach to the modeling of continuous-time system observed in discrete time. The rationale behind this approach is that discretetime models of continuous-time systems ought to be invertible; this property implying that we should investigate group theoretic methods - using compositi…
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Dynamical System Prediction: a Lie algebraic approach for a novel neural architecture
- …In this paper we study the problem of the prediction of autonomous continuous-time dynamical systems from discrete-time measurements of the state variables. From the fact that the system is inherently continuous in time but that the measurements are made at discrete time-intervals, we show that the …
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Prediction of Dynamical Systems With Composition Networks
- …In this paper we study the problem of predicting dynamical systems from discrete-time measurements of the state variables. Our approach is based on the theory of Lie algebras and the Baker-Campbell-Hausdorff formula. We present the composition network which is a multilayer architecture which can use…
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Composition Methods for the Integration of Dynamical Neural Networks
- …. We apply the symmetric composition method for the integration of ordinary differential equations to dynamical neural networks. In this method, we split the vector field, which is parameterized by a neural network, into the contribution of each of its neurons. We then solve the elementary different…
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A Jacobi-type systolic algorithm for Riccati and Lyapunov equations
- …: A systolic algorithm is devised for solving a class of Riccati and Lyapunov equations, which makes use of a factored version of the matrix sign recursions due to Charlier & Van Dooren [1]. The original algorithm is worked into an alternative Jacobitype algorithm, which is readily implemented on a…
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A Fast and Flexible Software Library for Large Integer Arithmetic
- …An ANSI C library of subroutines for multiprecision operations on unsigned integers is presented, that is both fast and flexible. Usability and applicability of such a library are shown to depend both on the basic design decisions as well as on the library's actual functionality. Basic design decisi…
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