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ICCV
2007
IEEE
15 years 11 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
VISSYM
2004
14 years 11 months ago
Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
John Plate, Anselm Grundhöfer, Benjamin Schmi...
APVIS
2009
14 years 10 months ago
Visualization of signal transduction processes in the crowded environment of the cell
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...
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KDD
1994
ACM
125views Data Mining» more  KDD 1994»
15 years 1 months ago
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...
CGF
2010
124views more  CGF 2010»
14 years 9 months ago
DTI in Context: Illustrating Brain Fiber Tracts In Situ
We present an interactive illustrative visualization method inspired by traditional pen-and-ink illustration styles. Specifically, we explore how to provide context around DTI fib...
Pjotr Svetachov, Maarten H. Everts, Tobias Isenber...