List of papers referenced by Fergus in Object Class Recognition by Unsupervised Scale-invariant Learning
- S. Agarwal and D. Roth. Learning a sparse representation for object detection.
- E. Borenstein. and S. Ullman. Class-specific, top-down segmentation
- M. Burl, M. Weber, and P. Perona. A probabilistic approach to object recognition using local photometry and global geometry
- T. Kadir and M. Brady. Scale, saliency, and image description
- T. Lindeberg. Feature detection with automatic scale selection
- K. Mikolajczyk and C. Schmid. Indexing based on scale invariant interest points
- C. Rothwell, A. Zisserman, D. Forsyth, and J. Mundy. Planar object recognition using projective shape representation
- Rowley, S. Baluja, and T. Kanade. Neural network-based face detection
- C. Schmid. Constructing models for content-based image retrieval
- H. Schneiderman and T. Kanade. A statistical method for 3D object detection applied to faces and cars
- K. Sung and T. Poggio. Example-based learning for view-based human face detection
- P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features
- M. Weber, M. Welling, and P. Perona. Towards automatic discovery of object categories
- M. Weber, M. Welling, and P. Perona. Unsupervised learning of models for recognition