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» Enhancements for Local Feature Based Image Classification
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CHI
2009
ACM
14 years 3 months ago
O' game, can you feel my frustration?: improving user's gaming experience via stresscam
One of the major challenges of video game design is to have appropriate difficulty levels for users in order to maximize the entertainment value of the game. Game players may lose...
Chang Yun, Dvijesh Shastri, Ioannis Pavlidis, Zhig...
AAAI
2010
13 years 10 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
TSMC
1998
122views more  TSMC 1998»
13 years 8 months ago
Dynamic adjustment of stereo display parameters
A review of the facts about human stereo vision leads to the conclusion that the human stereo processing mechanism is very flexible in the presence of other depth cues. Stereopsis ...
Colin Ware, Cyril Gobrecht, Mark Andrew Paton
BMCBI
2011
13 years 11 days ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
CVPR
2012
IEEE
11 years 11 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...