"Data Fusion and Multicue Data Matching by Diffusion Maps", Stephane Lafon, Yosi Keller, Ronald R. Coifman, IEEE Trans. Pattern Anal. Mach. Intell., vol. 28 (2006), pp. 1784-1797. Coifman, Ronald R.; Lafon, Stephane, Diffusion maps. Appl. Comput. Harmon. Anal. 21 (2006), no. 1, 5–30. "Spatially Coherent Nonlinear Dimensionality Reduction and Segmentation of Hyperspectral Images", Mohan, A.; Sapiro, G.; Bosch, E.; IEEE Geoscience and Remote Sensing Letters, April 2007, Volume 4 Issue: 2, 206 - 210 K. Pettis, T. Bailey, T. Jain, and R. Dubes, "An Intrinsic Dimensionality Estimator From Near-Neighbor Information," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 1, pp. 25-37, 1979. V. de Silva, J.B. Tenenbaum, "Sparse multidimensional scaling using landmark points", http://www-graphics.stanford.edu/courses/cs468-05-winter/Papers/Landmarks/Silva_landmarks5.pdf "Landmark MDS ensemble" by Seunghak Leea and Seungjin Choi, Pattern Recognition Volume 42, Issue 9, September 2009, Pages 2045-2053 "Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering" by Y. Bengio, JF. Paiement, P. Vincent et al. Advances in neural information processing systems (16), 2004 "Unsupervised Learning of Semantics of Object Detections for Scene Categorization" by Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent; Pattern Recognition Applications and Methods, pp 209-224 Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Yuan Li, Hartmut Neven, Hartwig Adam, Computer Vision–ECCV 2014, 2014, Pages 48-64 Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? R Giryes, G Sapiro, AM Bronstein - arXiv preprint arXiv:1504.08291, 2015 Discriminative Robust Transformation Learning J Huang, Q Qiu, G Sapiro, R Calderbank - Advances in Neural Information Processing Systems, 2015, Pages 1333-1341 Geometric muli-resolution analysis for dictionary learning M Maggioni, S Minsker, N Strawn SPIE Optical Engineering+ Applications, 95971C-95971C-9 Chew, S.E. and N.D. Cahill. Semi-Supervised Normalized Cuts for Image Segmentation, Proc. International Conference on Computer Vision, December 2015,