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» Tracking Large Variable Numbers of Objects in Clutter
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ICCV
2005
IEEE
14 years 9 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell
CVPR
2006
IEEE
14 years 1 months ago
Scalable Recognition with a Vocabulary Tree
A recognition scheme that scales efficiently to a large number of objects is presented. The efficiency and quality is exhibited in a live demonstration that recognizes CD-covers...
David Nistér, Henrik Stewénius
IV
2010
IEEE
214views Visualization» more  IV 2010»
13 years 6 months ago
The Network Lens: Interactive Exploration of Multivariate Networks Using Visual Filtering
—Networks are widely used in modeling relational data often comprised of thousands of nodes and edges. This kind of data alone implies a challenge for its visualization as it is ...
Ilir Jusufi, Yang Dingjie, Andreas Kerren
CCE
2011
13 years 2 months ago
Modelling and simulation of particle re-suspension in a turbulent square duct flow
The ability of a Reynolds-averaged Navier-Stokes (RANS) approach, coupled with a Lagrangian particle tracking technique, to predict particle re-suspension in a high Reynolds numbe...
J. F. W. Adams, M. Fairweather, J. Yao
ICCV
2003
IEEE
14 years 9 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer