caa a22 4500 467914591 CHVBK 20180406152858.0 cr unu---uuuuu 170328e20061001xx s 000 0 eng 10.1007/s11263-005-4939-z doi (NATIONALLICENCE)springer-10.1007/s11263-005-4939-z Unsupervised Learning of Image Manifolds by Semidefinite Programming [Elektronische Daten] [Kilian Weinberger, Lawrence Saul] Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinite programming. Given a data set of images, our algorithm computes a low dimensional representation of each image with the property that distances between nearby images are preserved. More generally, it can be used to analyze high dimensional data that lies on or near a low dimensional manifold. We illustrate the algorithm on easily visualized examples of curves and surfaces, as well as on actual images of faces, handwritten digits, and solid objects. Springer Science + Business Media, LLC, 2006 manifold learning nationallicence dimensionality reduction nationallicence semidefinite programming nationallicence kernel methods nationallicence data analysis nationallicence image manifolds nationallicence semidefinite embedding nationallicence Weinberger Kilian Department of Computer and Information Science, University of Pennsylvania, 19104-6389, Philadelphia, PA aut Saul Lawrence Department of Computer and Information Science, University of Pennsylvania, 19104-6389, Philadelphia, PA aut International Journal of Computer Vision Kluwer Academic Publishers 70/1(2006-10-01), 77-90 0920-5691 70:1<77 2006 70 11263 https://doi.org/10.1007/s11263-005-4939-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-005-4939-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Weinberger Kilian Department of Computer and Information Science, University of Pennsylvania, 19104-6389, Philadelphia, PA aut NATIONALLICENCE 700 1- Saul Lawrence Department of Computer and Information Science, University of Pennsylvania, 19104-6389, Philadelphia, PA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 70/1(2006-10-01), 77-90 0920-5691 70:1<77 2006 70 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer