S. Kevin Zhou
Email: s.kevin.zhou AT gmail.com
Web: http://www.cfar.umd.edu/~shaohua/
My research on generic vision and learning includes modeling appearance, shape, and motion, reproducing kernel Hilbert space (RKHS) based learning, and image-based boosting algorithms, etc.
| Appearance, shape, and motion modeling | |
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Geometric transform and knowledge-based appearance models |
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Active appearance Markov chain for contour tracking |
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| Kernel methods | |
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Probability distance measures in RKHS |
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Matrix-based kernel methods |
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Probabilistic analysis of kernel principal components |
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| Image-Based Boosting (IBB) | |
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Image-based regression using boosting method |
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RankBoost for image database |
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Image-based multiclass boosting |
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Boosted similarity function |
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| Manifold learning | |
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Pedestrian segmentation via manifold learning |