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» Hierarchical exploration of large multivariate data sets
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VISUALIZATION
2002
IEEE
15 years 2 months ago
Exploring Scalar Fields Using Critical Isovalues
Isosurfaces are commonly used to visualize scalar fields. Critical isovalues indicate isosurface topology changes: the creation of new surface components, merging of surface comp...
Gunther H. Weber, Gerik Scheuermann, Hans Hagen, B...
CVPR
2011
IEEE
14 years 5 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
IMR
2004
Springer
15 years 3 months ago
Entkerner: A System for Removal of Globally Invisible Triangles from Large Meshes
We present a method that computes a global potentially visible set for the complete region outside the convex hull of an object. The technique is used to remove invisible parts (t...
Manfred Ernst, Frank Firsching, Roberto Grosso
IJCNN
2000
IEEE
15 years 2 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 3 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter