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» Cluster and Calendar Based Visualization of Time Series Data
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CVPR
2008
IEEE
14 years 9 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
TVCG
2012
185views Hardware» more  TVCG 2012»
11 years 10 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
MMSEC
2006
ACM
220views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Robust blind watermarking mechanism for motion data streams
The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Moca...
Parag Agarwal, Ketaki Adi, B. Prabhakaran
CCE
2006
13 years 7 months ago
New approaches for representing, analyzing and visualizing complex kinetic transformations
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
Ioannis P. Androulakis
IV
2009
IEEE
128views Visualization» more  IV 2009»
14 years 2 months ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber