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» Combining Statistical Measures to Find Image Text Regions
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NIPS
1998
13 years 8 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
CVPR
2007
IEEE
14 years 9 months ago
The effective resolution of correlation filters applied to natural scenes
In this paper, we measure the responses of image patches, used as filters, on different image ensembles and examine how the responses are affected by reducing the resolution of th...
Michel Vidal-Naquet, Manabu Tanifuji
ICALT
2009
IEEE
13 years 5 months ago
Eye-Tracking Users' Behavior in Relation to Cognitive Style within an E-learning Environment
Eye-tracking measurements may be used as a method of identifying users' actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in...
Nikos Tsianos, Panagiotis Germanakos, Zacharias Le...
PAMI
2006
178views more  PAMI 2006»
13 years 7 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek