Robust classification of objects, faces, and flowers using natural image statistics ; Article #: ; Date of Conference: 13-18 June 2010 ; Date Added to IEEE Xplore: ...
Robust Classification of Objects, Faces, and Flowers. Using Natural Image Statistics. Christopher Kanan and Garrison Cottrell. Department of Computer Science ...
Using only a single feature type, our approach achieves 78.5% accuracy on Caltech-101 and 75.2% on the 102 Flowers dataset when trained on 30 instances per ...
Many image processing sytems try to mimic the processing that is known to occur in the early parts of the biological visual system.
Supplementary Material for the Paper: Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics. Christopher Kanan and Garrison ...
Kanan, C. & Cottrell, G. W. (2010). Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics. In Proceedings of the IEEE Conference ...
Kanan, Christopher and Garrison Cottrell, Robust Classification of Objects, Faces, and Flowers using Natural Image Statistics, In 2010 IEEE Conference on ...