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125
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IJCV
2008
241views more  IJCV 2008»
15 years 3 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
107
Voted
CVPR
2003
IEEE
16 years 5 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
147
Voted
ICPR
2006
IEEE
16 years 4 months ago
A Higher-Order Active Contour Model for Tree Detection
We present a model of a `gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short ran...
Peter Horvath, Ian Jermyn, Zoltan Kato, and Josian...
118
Voted
IPMI
2009
Springer
16 years 4 months ago
A Statistical Model of White Matter Fiber Bundles based on Currents
The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fib...
Stanley Durrleman, Pierre Fillard, Xavier Pennec, ...
155
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale