Large multi-class image categorization with ensembles of label trees
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[1] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[2] Fei-Fei Li,et al. What Does Classifying More Than 10, 000 Image Categories Tell Us? , 2010, ECCV.
[3] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[4] Antonio Torralba,et al. Semantic Label Sharing for Learning with Many Categories , 2010, ECCV.
[5] Thomas Hofmann,et al. Exploiting Known Taxonomies in Learning Overlapping Concepts , 2007, IJCAI.
[6] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[7] Ming Yang,et al. Large-scale image classification: Fast feature extraction and SVM training , 2011, CVPR 2011.
[8] Daphne Koller,et al. Discriminative learning of relaxed hierarchy for large-scale visual recognition , 2011, 2011 International Conference on Computer Vision.
[9] Jason Weston,et al. Label Embedding Trees for Large Multi-Class Tasks , 2010, NIPS.
[10] Eleanor Rosch,et al. Principles of Categorization , 1978 .
[11] Fei-Fei Li,et al. Building and using a semantivisual image hierarchy , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Cordelia Schmid,et al. Constructing Category Hierarchies for Visual Recognition , 2008, ECCV.
[13] John Langford,et al. Multi-Label Prediction via Compressed Sensing , 2009, NIPS.
[14] Leo Breiman,et al. Random Forests , 2001, Machine Learning.