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» Selecting What Is Important: Training Visual Attention
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VMV
2001
161views Visualization» more  VMV 2001»
13 years 8 months ago
Viewpoint Selection using Viewpoint Entropy
Computation of good viewpoints is important in several fields: computational geometry, visual servoing, robot motion, graph drawing, etc. In addition, selection of good views is r...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...
MLDM
2007
Springer
14 years 1 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
ICIP
2008
IEEE
14 years 9 months ago
Cross-domain learning methods for high-level visual concept classification
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...
CACM
2000
130views more  CACM 2000»
13 years 7 months ago
Visual Generalization in Programming by Example
In Programming by Example [PBE, also sometimes called "Programming by Demonstration"] systems, the system records actions performed by a user in the interface, and produ...
Robert St. Amant, Henry Lieberman, Richard Potter,...
PICS
2003
13 years 8 months ago
Efficient Mobile Imaging Using Emphasis Image Selection
Mobile imaging helps realize "any time, anywhere" visual communication by allowing consumers to capture, review, share, and print pictures via mobile devices while "...
Jiebo Luo, Amit Singhal, Andreas E. Savakis