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  • Articles  (37)
  • Springer  (37)
  • Computer Science  (37)
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  • Articles  (37)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine vision and applications 6 (1993), S. 181-190 
    ISSN: 1432-1769
    Keywords: Real-time image processing ; Image segmentation ; Pixel classification ; VLSI
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The main focus of this paper is on the architectural and implementation issues of a prototype of a low-level image segmentation architecture (LISA). LISA performs real-time (20 Mpixels/sec) gray-level image segmentation, i.e., assignment of image pixels to a few user-selected classes. A decision-theoretic pattern-recognition approach is used, which is divided into a feature extraction part and a decision analysis part. The feature extraction part is based on extracting local and global descriptions for all of the image pixels. In the decision analysis part we designed a novel no-cross-term classifier, which significantly reduced the hardware complexity. The LISA prototype has been built with custom and off-the-shelf VLSI chips. Some measured results will also be reported.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1572-8196
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology , Computer Science
    Notes: Abstract We consider the problem of managing the information required to locate users in a wireless communication system, with a focus on designing and evaluating location management techniques that are efficient, scalable, and flexible. The three key contributions of this paper are: (1) a family of location management techniques, HiPER (for Hierarchical ProfilE Replication), that efficiently provide life‐long (non‐geographic) numbering with fast location lookup; (2) Pleiades, a scalable event‐driven wireless system simulator with realistic calling and mobility patterns derived from several months of real traffic traces; and (3) multi‐day simulations comparing our proposed location management techniques with current and previously proposed techniques on a realistic geographical and network topology.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1435-5655
    Keywords: Expert systems ; User interfaces ; Knowledge bases ; Reasoning ; Explanations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Expert systems have had little impact as computing artifacts. In this paper we argue that the reason for this stems from the underlying assumption of most builders of expert systems that an expert system needs to acquire information and to control the interaction between the human user and itself. We show that this assumption has serious linguistic and usability flaws which diminish the likelihood of producing socially acceptable expert systems. We propose a reversal of this paradigm, for the design of expert systems, by assuming that it is the human user who needs to acquire information and to control the interaction between themselves and the system.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Multimedia systems 1 (1993), S. 120-131 
    ISSN: 1432-1882
    Keywords: ATM hardware ; ATM software ; Broadband ATM ; JPEG compression ; Multimedia ; Multimedia hardware ; Multimedia software
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The Washington University multimedia system (MMS) is a complete multimedia system capable of transmitting and receiving JPEG-compressed video, CD-quality audio, and high-resolution radiological images, in addition to normal network traffic, over the Washington University broadband ATM network. The MMS consists of an ATMizer and three multimedia subsystems. The ATMizer implements the host interface, the interface to the ATM network, and the interface to the three multimedia subsystems. This paper describes the architecture of the MMS, the software used with the system, and the applications which have been developed to demonstrate the capability and applicability of broadband ATM networks for multimedia applications.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 83 (2000), S. 151-159 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract.  We show that the first five moments of the soma potential and soma current uniquely and stably determine the soma conductance and capacitance and the dendritic electrotonic length, conductance, and capacitance in the so-called somatic shunt model of the passive behavior of a neuron. We test our resulting input admittance algorithm on synthetic data and demonstrate the regularizing effect of knowledge of the ratio of soma to dendrite surface areas.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Data mining and knowledge discovery 1 (1997), S. 225-231 
    ISSN: 1573-756X
    Keywords: visualization ; fraud ; information discovery ; interaction ; telecommunications data mining
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Human pattern recognition skills are remarkable and in many situations far exceed the ability of automated mining algorithms. By building domain-specific interfaces that present information visually, we can combine human detection with machines' far greater computational capacity. We illustrate our ideas by describing a suite of visual interfaces we built for telephone fraud detection.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Empirical software engineering 5 (2000), S. 215-228 
    ISSN: 1573-7616
    Keywords: requirements ; problem frame ; problem domain
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Problemframes are a relatively new approach to requirements engineering,promising benefits not only in elicitation but also in subsequentdesign, by allowing their users to select methods and techniquesappropriate to their given problem domain. In order to be effectivethis approach relies upon the correct identification of relevantproblem frames for a given problem or scenario. Hence, we examinewhether people are able to identify the correct (relevant) framesfor a given set of problem descriptions, and whether they cancorrectly gauge the relative contribution of each identifiedframe to the given problem. We note the Euclidean distance of(individual and group) answers from an expert solution, consideringeach problem frame as a separate dimension. Examination of thisdistance (or magnitude of error) allows us to gauge the accuracywith which people can assign problem frames. We compare the performanceof individuals within groups, and the performance where groupswork together to provide a collective solution, comparing bothof these with a fair-distribution strategy. We found that peoplecan choose the relevant frames with a reasonable degree of accuracy,but that this is improved where they work to provide a collectivesolution. We also note differences among groups, for example,that experience appears to improve the accuracy with which groupscan collectively choose relevant frames.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    International journal of computer vision 34 (1999), S. 75-79 
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This special issue of the International Journal of Computer Vision highlights research on computer vision at the NEC Research Institute. The purpose of this preface is to provide some context to how this work reflects our broader goals and themes of computer vision research at NECI.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    International journal of computer vision 11 (1993), S. 5-24 
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A contour segmentation algorithm is presented that takes an edge map and extracts continuous curves of arbitrary smoothness, correctly handling curve intersections and capable of extrapolating over significant measurement gaps. The algorithm incorporates noise models of the edge-detection process and limited scene statistics. It is based on an explicit contour model and employs a statistical distance measure to quantify the likelihood of each segmentation hypothesis. A Bayesian multiple-hypothesis tree organizes possible segementations, making it possible to postpone grouping decisions until a sufficient amount of information is available. We have demonstrated its performance on real and synthetic images.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    International journal of computer vision 10 (1993), S. 53-66 
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Motion correspondence is a fundamental problem in computer vision and many other disciplines. This article describes statistical data association techniques originally developed in the context of target tracking and surveillance and now beginning to be used in dynamic motion analysis by the computer vision community. The Mahalanobis distance measure is first introduced before discussing the limitations of nearest neighbor algorithms. Then, the track-splitting, joint likelihood, multiple hypothesis algorithms are described, each method solving an increasingly more complicated optimization. Real-time constraints may prohibit the application of these optimal methods. The suboptimal joint probabilistic data association algorithm is therefore described. The advantages, limitations, and relationships between the approaches are discussed.
    Type of Medium: Electronic Resource
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