Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability
Reference102 articles.
1. Altman, N.S.: An introduction to kernel and nearest-neighbor nonparametric regression. Am. Stat. 46, 175–185 (1992)
2. Anguelov, D., Taskar, B., Chatalbashev, V., Koller, D., Gupta, D., Heitz, G., Ng, A. Y.: Discriminative learning of Markov random fields for segmentation of 3d scan data. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, pp. 169–176 (2005)
3. Aujol, J.-F., Gilboa, G., Papadakis, N.: Fundamentals of non-local total variation spectral theory. In: Proceedings Scale Space and Variational Methods in Computer Vision, pp. 66–77 (2015)
4. Bache, K., Lichman, M.: UCI machine learning repository (2013)
5. Bae, E., Tai, X.-C., Yuan, J.: Maximizing flows with message-passing: Computing spatially continuous min-cuts. In: Energy Minimization Methods in Computer Vision and Pattern Recognition—10th International Conference, pp. 15–28 (2014)
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