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» A New Bayesian Framework for Object Recognition
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CVPR
2008
IEEE
14 years 9 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
CVPR
2007
IEEE
14 years 9 months ago
Hierarchical Matching of Deformable Shapes
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
Pedro F. Felzenszwalb, Joshua D. Schwartz
ICCV
2009
IEEE
13 years 4 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
14 years 20 days ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
GW
2005
Springer
120views Biometrics» more  GW 2005»
14 years 17 days ago
Recognition of Deictic Gestures for Wearable Computing
In modern society there is an increasing demand to access, record and manipulate large amounts of information. This has inspired a new approach to thinking about and designing pers...
Thomas B. Moeslund, Lau Nørgaard