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115
Voted
CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
295
Voted
Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
111
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IJCV
1998
15 years 3 months ago
1998
There are many computational vision techniques that fundamentally rely upon assumptions about the nature of diffuse reflection from object surfaces consisting of commonly occurrin...
160
Voted
CVPR
2011
IEEE
15 years 4 days ago
2011
IEEE
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
116
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PAMI
2006
15 years 3 months ago
2006
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...