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» Revealing uncertainty for information visualization
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ACIVS
2006
Springer
13 years 11 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
14 years 15 days ago
Visually Built Task Models for Robot Teams in Unstructured Environments
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create t...
Vivek A. Sujan, Steven Dubowsky
EDUTAINMENT
2008
Springer
13 years 9 months ago
Knowledge Discovery by Network Visualization
Hyperlinks among webpages are very important information and are widely used for webpage clustering and webpage ranking. With the explosive growth in the number of webpages availab...
Hong Zhou, Yingcai Wu, Ming-Yuen Chan, Huamin Qu, ...
IJCNN
2000
IEEE
13 years 12 months ago
A Neural Network Approach for Visual Cryptography
In this paper, we propose a neural-network approach for visual authorization. It is an application on visual cryptography. The scheme contains a key-share and a set of user-shares....
Tai-Wen Yue, Suchen Chiang
ECCV
2004
Springer
14 years 29 days ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...