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ICDAR
2003
IEEE
15 years 9 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 6 months 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
16 years 5 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
16 years 4 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
16 years 4 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