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Chapter and Conference Paper
Extremely Fast Unsupervised Codebook Learning for Landmark Recognition
Traditional landmark recognition methods work by using local image features, k-means vector quantization and classifiers like SVM to recognize landmarks. However, the inefficient codebook learning by k-means c...
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Chapter and Conference Paper
The Application of the Pattern Recognition Algorithms in Security Assessment of Structural Health Monitoring for Bridges
Each year bridge collapse causes huge loss in China. The damage identification of bridges is a difficult problem. The Pattern recognition is an important method in security assessment of structural health moni...
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Chapter and Conference Paper
Color Transfer Based on Earth Mover’s Distance and Color Categorization
Color transfer aims at changing an original image’s color theme to a target one while preserving the original image’s geometric structure information. In recent studies of color transfer, there are mainly two ...
