Parcourir par sujet "Near sets"

Voici les éléments 1-6 de 6

    • A Descriptive Tolerance Nearness Measure for Performing Graph Comparison 

      Henry, Christopher J.; Awais, Syed Aqeel (IOS Press, 2018-11-03)
      This article proposes the tolerance nearness measure (TNM) as a computationally reduced alternative to the graph edit distance (GED) for performing graph comparisons. The TNM is defined within the context of near set theory, ...

    • Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval 

      Kaur, Kanwarpreet; Ramanna, Sheela; Henry, Christopher (IOS Press, 2016-03-01)
      Rough set based flow graphs represent the flow of information for a given data set where branches of these could be constructed as decision rules. However, in the recent years, the concept of flow graphs has been applied ...

    • Metric free nearness measure using description-based neighbourhoods 

      Henry, Christopher J. (Springer, 2013-02-26)
      The focus of this paper is on a metric free nearness measure for quantifying the descriptive nearness of digital images. Regions of Interest (ROI) play an important role in discerning perceptual similarity within a single ...

    • Neighbourhoods, classes, and near sets 

      Henry, Christopher J. (Applied Mathematical Sciences,, 2011)
      The article calls attention to the relationship between neighbourhoods and tolerance classes in the foundations of tolerance near sets. A particular form of tolerance relation is given by way of introduction to descriptively ...

    • Perceptual image analysis 

      Henry, C.; Peters, J. F. (Inderscience Enterprises Ltd., 2010)
      The problem considered in this paper is one of extracting perceptually relevant information from groups of objects based on their descriptions. Object descriptions are qualitatively represented by feature-value vectors ...

    • Signature-based perceptual nearness: Application of near sets to image retrieval 

      Henry, Christopher J.; Ramanna, Sheela (Birkhäuser, 2013)
      This paper presents a signature-based approach to quantifying perceptual nearness of images. A signature is defined as a set of descriptors, where each descriptor consists of a real-valued feature vector associated with a ...