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ICDAR
2003
IEEE
15 years 3 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
FLAIRS
2010
15 years 8 days ago
Visual Object Detection using Frequent Pattern Mining
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...
Yousuf Aboobaker Sait, Balaraman Ravindran
ICIP
2005
IEEE
15 years 11 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...
CHI
2008
ACM
15 years 10 months ago
Letterscroll: text entry using a wheel for visually impaired users
Four text entry techniques for visually impaired users are presented. LetterScroll uses a mouse wheel to maneuver a cursor across a sequence of characters, and a button for charac...
Hussain Tinwala, I. Scott MacKenzie
CHI
2007
ACM
15 years 10 months ago
Supporting multi-point interaction in visual workspaces
Multi-point interaction tasks involve the manipulation of several mutually-dependent control points in a visual workspace ? for example, adjusting a selection rectangle in a drawi...
Garth Shoemaker, Carl Gutwin