Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data

Author:

Çeliktutan Oya,Wolf Christian,Sankur Bülent,Lombardi Eric

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modelling and Simulation,Statistics and Probability

Reference60 articles.

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2. Baccouche, M., Mamalet, F., Wolf, C., Garcia, C., Baskurt, A.: Spatio-temporal convolutional sparse auto-encoder for sequence classification. In: British Machine Vision Conference (BMVC), pp. 124.1–124.1 (2012)

3. Belongie, S., Malik, J., Puzicha, J.: Matching shapes. In: Proceedings of the Eighth IEEE International Conference on Computer Vision, pp. 454–461 (2001)

4. Berg, A.C., Berg, T.L., Malik, J.: Shape matching and object recognition using low distortion correspondences. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 26–33 (2005)

5. Bergtholdt, M., Kappes, J., Schmidt, S., Schnörr, C.: A study of parts-based object class detection using complete graphs. Int. J. Comput. Vis. 87(1–2), 93–117 (2010)

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