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» Learning Visual Invariance
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DAWAK
2004
Springer
14 years 1 months ago
Multidimensional Data Visual Exploration by Interactive Information Segments
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
ICDAR
2003
IEEE
14 years 1 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
CGF
2010
155views more  CGF 2010»
13 years 8 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...
CG
2007
Springer
13 years 8 months ago
Visualizing and animating the winged-edge data structure
The winged- and half- edge data structures are commonly used representations for polyhedron models. Due to the complexity, students in an introductory to computer graphics course ...
Bryan Neperud, John L. Lowther, Ching-Kuang Shene
CVPR
2012
IEEE
11 years 10 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji