Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017). Local binary features for texture classification: Taxonomy and experimental study Pattern Recognition, 62, 135-160.
References
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Shafiee, J. (2017). Randomly-connected Non-Local Conditional Random Fields
Chung, A. G., Shafiee, M. J., Fieguth, P., & Wong, A. (2017). The mating rituals of deep neural networks: Learning compact feature representations through sexual evolutionary synthesis Proceedings of the IEEE International Conference on Computer Vision Workshops, 1220-1227.
Haines, L., Kralj, O., Marschall, S., Gawish, A., Fieguth, P., … Singal, N. (2017). Comparison of corneal epithelial thickness before and after corneal cross-linking surgery with and without intracorneal ring segments using optical coherence tomography Investigative Ophthalmology & Visual Science, 58, 3524-3524.
Kasiri, K., Gawish, A., & Fieguth, P. (2017). Seam tracking in automated welding 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 22-27. IEEE.
Hu, X., Ma, A., Gawish, A., Lamm, M., & Fieguth, P. (2017). Motion detection in high resolution enhancement Journal of Computational Vision and Imaging Systems, 3.
Mwangi, G. (2017). An Extension To The Principle Of Least Action For Gibbs Random Fields
Chung, A. G., Fieguth, P., & Wong, A. (2017). Polyploidism in deep neural networks: m-parent evolutionary synthesis of deep neural networks in varying population sizes Journal of Computational Vision and Imaging Systems, 3.
Sankar, V., Gawish, A., & Fieguth, P. (2017). Impact of training images on radiometric compensation Journal of Computational Vision and Imaging Systems, 3.
Liu, C., Wong, A., Moayed, A. A., Fieguth, P., Bie, H., & Bizheva, K. (2016). Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 4, 306-316.