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  • Result 1-4 of 4
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1.
  • Brooks, C., et al. (author)
  • Visual Detection of Novel Terrain via Two-Class Classification
  • 2009
  • In: Proceedings of the 24th Annual ACM. - New York : ACM Press. - 9781605581668 ; , s. 1145-1150
  • Conference paper (peer-reviewed)abstract
    • Remote sensing of terrain characteristics is an important component for autonomous operation of mobile robots in natural terrain. Often this involves classification of terrain into one of a set of a priori known terrain classes. Situations can frequently arise, however, where an autonomous robot encounters a terrain class that does not belong to one of these known classes. This paper proposes an approach for visual detection of novel terrain based on a two-class support vector machine (SVM) for situations when known terrain classes can be confidently associated with only a subset of the training data. Experimental results from a four-wheeled mobile robot in Mars analog terrain demonstrate the effectiveness of this approach. Copyright 2009 ACM.
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3.
  • Namaki, Nima, 1975-, et al. (author)
  • Exhaustion dominated performance : a first attempt
  • 2009
  • In: SAC '09. - New York, NY, USA : ACM. - 9781605581668 ; , s. 1011-1012
  • Conference paper (peer-reviewed)abstract
    • In this paper we present a first attempt to an analytical method to discover and understand how the available resources influence the execution time. Our method is based on a piecewise linear model for dominating execution limitations and black-box observations. We verify this analysis method by a set of real-world experiments. Finally, we conclude that the different effects follow a linear superposition within a certain range.
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4.
  • Rittgen, Peter (author)
  • Collaborative Modeling of Business Processes : A Comparative Case Study
  • 2009
  • In: Proceedings of the 24th Annual ACM Symposium on Applied Computing. - New York, NY, USA : AMC. - 9781605581668 ; , s. 225-230
  • Conference paper (peer-reviewed)abstract
    • We study collaborative modeling of business processes with respect to the impact of tool support on the modeling process. For this purpose we compared model quality and modeling costs in two cases. The first was carried out with the help of a collaborative modeling tool; in the second case we kept all other parameters as closely as possible to the first one but conducted the modeling session in the usual way without tool support. We observed a marked increase in modeling time in the second case and a reduction in model quality.
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  • Result 1-4 of 4

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