Browsing by Subject "Clustering algorithms"

Browsing by Subject "Clustering algorithms"

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  • Cluster-based contextual recommendations 
    Stefanidis, Kostas; Ntoutsi, Eirini (Konstanz : OpenProceedings.org, 2016)
    In this work, we address the problem of contextual recommendations by exploiting the concept of subspace clustering. Specifically, we pre-partition users that have rated subsets of data items similarly into clusters and ...
  • Contextual classification of point clouds using a two-stage CRF 
    Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: ...
  • Edges as nodes - A new approach to timetable information 
    Beyersdorff, Olaf; Nebesov, Yevgen (Wadern : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, 2009)
    In this paper we suggest a new approach to timetable information by introducing the "edge-converted graph" of a timetable. Using this model we present simple algorithms that solve the earliest arrival problem (EAP) and the ...