Objects, Actions, Places
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s11263-014-0699-3.pdf
Reference8 articles.
1. Bilen, H., Namboodiri, V. P., & van Gool, L. J. (2014). Object and action classification with latent window parameters. International Journal of Computer Vision. doi: 10.1007/s11263-013-0646-8 .
2. Haines, T. S. F., & Xiang, T. (2013). Active rare class discovery and classification using dirichlet processes. International Journal of Computer Vision. doi: 10.1007/s11263-013-0630-3 .
3. Johns, E., & Yang, G.-Z. (2014). Generative methods for long-term place recognition in dynamic scenes. International Journal of Computer Vision. doi: 10.1007/s11263-013-0648-6 .
4. Lehmann, A. D., Gehler, P. V., & Gool, L. V. (2014). Branch&rank for efficient object detection. International Journal of Computer Vision. doi: 10.1007/s11263-013-0670-8 .
5. Liu, K., Skibbe, H., Schmidt, T., Blein, T., Palme, K., Brox, T., et al. (2014). Rotation-invariant HOG descriptors using fourier analysis in polar and spherical coordinates. International Journal of Computer Vision. doi: 10.1007/s11263-013-0634-z .
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