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» On Feature Selection through Clustering
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CVPR
2009
IEEE
15 years 2 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
EWCBR
2008
Springer
13 years 9 months ago
Discovering Feature Weights for Feature-based Indexing of Q-tables
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, H&e...
CGF
2010
165views more  CGF 2010»
13 years 6 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
ANNPR
2006
Springer
13 years 11 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
CVPR
2007
IEEE
14 years 9 months ago
Maximally Stable Colour Regions for Recognition and Matching
This paper introduces a novel colour-based affine covariant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension ...
Per-Erik Forssén