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» Hierarchical exploration of large multivariate data sets
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MICCAI
2009
Springer
15 years 11 months ago
Constructing a Dictionary of Human Brain Folding Patterns
Abstract. Brain imaging provides a wealth of information that computers can explore at a massive scale. Categorizing the patterns of the human cortex has been a challenging issue f...
Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Deni...
VMV
2001
132views Visualization» more  VMV 2001»
14 years 11 months ago
Optimal Memory Constrained Isosurface Extraction
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Dietmar Saupe, Jürgen Toelke
NIPS
1998
14 years 11 months ago
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
Shumeet Baluja
TVCG
2010
165views more  TVCG 2010»
14 years 8 months ago
A Visual Backchannel for Large-Scale Events
—We introduce the concept of a Visual Backchannel as a novel way of following and exploring online conversations about large-scale events. Microblogging communities, such as Twit...
Marian Dörk, Daniel M. Gruen, Carey Williamso...
VISUALIZATION
2002
IEEE
15 years 2 months ago
Interactive Visualization of Complex Plant Ecosystems
We present a method for interactive rendering of large outdoor scenes. Complex polygonal plant models and whole plant populations are represented by relatively small sets of point...
Oliver Deussen, Carsten Colditz, Marc Stamminger, ...