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  • 1
    Electronic Resource
    Electronic Resource
    On the performance of single-layered neural networks (1992)
    Springer
    Biological cybernetics 68 (1992), S. 31-41 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract This paper studies the performance of single-layered neural networks. This study begins with the performance of single-layered neural networks trained using the outer-product rule. The outer-product rule is a suboptimal learning scheme, resulting under certain assumptions from optimal least-squares training of single-layered neural networks with respect to their analog output. Extensive analysis reveals the improvement on the network performance caused by its optimal least-squares training. The effect of the training scheme on the performance of single-layered neural networks with binary output is exhibited by experimentally comparing the performance of single-layered neural networks trained with respect to their analog and binary output.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00203135
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Analysis and implementation of morphological skeleton transforms (1992)
    Springer
    Circuits, systems and signal processing 11 (1992), S. 253-280 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper presents the analysis and the implementation algorithms of the morphological skeleton transform (MST) of binary images. A general MST algorithm is provided from which different subclasses of MSTs can be derived by choosing different structuring elements. Three subclasses of MSTs are discussed in this paper: the uniform-step-distance MST (USDMST), the periodically-uniform-step-distance MST (PUSDMST) and the pseudo-Euclidean MST (PEMST). A general discrete distance called morphological distance relates distance measures to the definitions of structuring elements. The PEMST is proposed which uses isotropic discrete structuring elements called quasi-circular structuring elements (QCSE). The QCSEs of all integer sizes are composed by a dilation interpolation method so that they can be decomposed into simplest elements in order to reduce computation. The PEMST has better performance in terms of rotation-invariance than any existing MSTs. The algorithm has an approximately linear computational complexity. Finally, the implementation of the three MSTs are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01189229
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  • 3
    Electronic Resource
    Electronic Resource
    Rotationally invariant pecstrum: A rotationally invariant object descriptor based on mathematical morphology (1992)
    Springer
    Circuits, systems and signal processing 11 (1992), S. 455-492 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Mathematical morphology is becoming increasingly important in industrial vision applications for object recognition and defect inspection. In this paper we define a new function based on mathematical morphology, which we named the Rotationally Invariant Pecstrum (RIP). The RIP is proven to be invariant under rotation regardless of the shape of the structuring element. This paper also discusses how to use the RIP as an object descriptor and studies the effect of using different structuring elements on recognizing objects of different shapes.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01219503
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  • 4
    Electronic Resource
    Electronic Resource
    Efficient VLSI array processing structures for adaptive quadratic digital filters (1988)
    Springer
    Circuits, systems and signal processing 7 (1988), S. 253-273 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this paper we introduce a class of efficient architectures for adaptive quadratic digital filters. These architectures are based on the LMS algorithm and use the rank compressed lower-upper (LU) triangular deomposition method. These architectures exhibit high parallelism as well as great modularity and regularity. We also consider affiliated VLSI array processing structures and compare these in terms of hardware cost and data throughput delay. For comparison purposes, the distributed arithmetic structures of adaptive quadratic filters are also included in the paper. Finally, the convergence performance of the adaptive quadratic filters is tested via benchmark simulation examples.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01602100
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  • 5
    Electronic Resource
    Electronic Resource
    Three-dimensional rotated digital filters: Design, stability, and applications (1990)
    Springer
    Circuits, systems and signal processing 9 (1990), S. 383-408 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Three-dimensional (3-D) signal processing offers many advantages over two-dimensional (2-D) processing, because it preserves 3-D correlations. In this paper the design and the stability of 3-D rotated filters are considered. These filters are designed by rotating a one-dimensional (1-D) digital filter in 3-D space. The rotated filters are valuable in the design of various 3-D filters which possess prescribed spectral specifications. An efficient algorithm for the design of 3-D lowpass (LP) digital filters, with approximately spherically symmetric magnitude responses, is introduced. To achieve the desirable spectral characteristics, a number of 3-D rotated filters is cascaded. The stability of the spherically symmetric filters designed is considered, and stable realizations are proposed. The relation between the cut-off isopotential sphere of the 3-D filter and the cut-off frequency of the 1-D filter employed in the design, is derived. Finally, configurations that result in highpass (HP) and bandpass (BP) filters are proposed. Examples of LP, HP, and BP filters, designed on the basis of the method proposed, are presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01189333
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  • 6
    Electronic Resource
    Electronic Resource
    Block decomposition structures for the fast modular implementation of two-dimensional digital filters (1989)
    Springer
    Circuits, systems and signal processing 8 (1989), S. 163-185 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract A general structure is presented for the block realization of two-dimensional infinite impulse response digital filters, which is based on the two-dimensional matrix convolution equations and the decomposition of their associated transfer function matrices. The proposed decomposition may be considered as an extension of the scalar decomposition technique, which has already been used for the realization of two-dimensional digital filters associated with two-variable polynomials. The decomposition structure is considered in two different forms, which correspond to the direct forms I and II. It is shown that if a given two-dimensional single-input, single-output filter is realizable, then realizable block decomposition structures may be always selected. The proposed approach is general and applies without any restriction for the block implementation of any two-dimensional filter. The resulting structures are characterized by high inherent parallelism, modularity, regularity, reconfigurability, local interconnections, and very high sampling and throughput rates. Thus they are well suited for VLSI implementation and implementation via multiprocessor systems and array processors, such as systolic and wavefront arrays.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01599936
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  • 7
    Electronic Resource
    Electronic Resource
    Design and analysis of a class of self-organizing and trainable fuzzy controllers (1995)
    Springer
    Journal of intelligent and robotic systems 12 (1995), S. 301-315 
    Details
    ISSN: 1573-0409
    Keywords: Fuzzy controller ; self-organization ; K-nearest neighbor ; fuzzy rules ; KNN membership
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract As the applications of fuzzy-controllers become more complicated, the attributes of self-organization and trainability become increasingly important. Indeed, the specification of fuzzy rules and membership functions for systems with a large number of state variables is extremely difficult. This paper introduces a new class of self-organizing and trainable fuzzy-controllers that can be designed without specific information regarding either the membership functions or the fuzzy rules. The proposed controller derives the fuzzy rules from clusters formed in the input space, through a self-organizing process. The clustering is performed through a simple method which can adaptively allocate new clusters as more date are available to the controller. Then, the membership values of crisp inputs are determined by K-nearest-neighbor (KNN) distance measures applied to the centers of the input clusters. Finally, a KNN defuzzification processes directly estimates of the crisp output of unknown input data. An adaptation procedure for the center vector of each cluster and the corresponding output value is developed. The overall design is analyzed in terms of the existence and the uniqueness of the solution of the proposed model. The performance of the proposed controller is considered through the modeling of the Mackey—Glass time-series.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01262966
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  • 8
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    A survey of multilinear subspace learning for tensor data (2011)
    Elsevier
    Details
    Publication Date: 2011-07-01
    Print ISSN: 0031-3203
    Electronic ISSN: 1873-5142
    Topics: Computer Science
    Published by Elsevier
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  • 9
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    On the performance of single-layered neural networks (1992)
    Springer
    Details
    Publication Date: 1992-11-01
    Print ISSN: 0340-1200
    Electronic ISSN: 1432-0770
    Topics: Biology , Computer Science , Physics
    Published by Springer
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  • 10
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    Two-dimensional casual filter approximation using a strictly causal filter (1986)
    Elsevier
    Details
    Publication Date: 1986-03-01
    Print ISSN: 0016-0032
    Electronic ISSN: 1879-2693
    Topics: Mathematics , Technology
    Published by Elsevier
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