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» Visualization of the Learning Process Using Concept Mapping
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DAGM
2006
Springer
15 years 10 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
TRECVID
2007
15 years 7 months ago
MSRA-USTC-SJTU AT TRECVID 2007: HIGH-LEVEL FEATURE EXTRACTION AND SEARCH
This paper describes the MSRA-USTC-SJTU experiments for TRECVID 2007. We performed the experiments in high-level feature extraction and automatic search tasks. For high-level feat...
Tao Mei, Xian-Sheng Hua, Wei Lai, Linjun Yang, Zhe...
WSC
2007
15 years 8 months ago
Enabling smooth and scalable dynamic 3d visualization of discrete-event construction simulations in outdoor augmented reality
Visualization is a powerful method for verifying, validating, and communicating the results of a simulated model. Lack of visual understanding about a simulated model is one of th...
Amir H. Behzadan, Vineet R. Kamat
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
15 years 4 months ago
Towards One Shot Learning by imitation for humanoid robots
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Yan Wu, Yiannis Demiris
AI
1998
Springer
15 years 10 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone