Dimension estimation of image manifolds by minimal cover approximation
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[1] Yi Yang,et al. Harmonizing Hierarchical Manifolds for Multimedia Document Semantics Understanding and Cross-Media Retrieval , 2008, IEEE Transactions on Multimedia.
[2] Charles Bouveyron,et al. Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA , 2011, Pattern Recognit. Lett..
[3] Balázs Kégl,et al. Intrinsic Dimension Estimation Using Packing Numbers , 2002, NIPS.
[4] Gerald Sommer,et al. Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[5] ZhangChangshui,et al. Flexible manifold embedding , 2010 .
[6] Feiping Nie,et al. Embedding new data points for manifold learning via coordinate propagation , 2007, Knowledge and Information Systems.
[7] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[8] Wenhua Wang,et al. Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation , 2010, AAAI.
[9] Alfred O. Hero,et al. Geodesic entropic graphs for dimension and entropy estimation in manifold learning , 2004, IEEE Transactions on Signal Processing.
[10] Hongbin Zha,et al. Riemannian Manifold Learning , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Anil K. Jain,et al. An Intrinsic Dimensionality Estimator from Near-Neighbor Information , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Feiping Nie,et al. Regression Reformulations of LLE and LTSA With Locally Linear Transformation , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[13] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[14] Feiping Nie,et al. Neighborhood MinMax Projections , 2007, IJCAI.
[15] Waldemar Karwowski,et al. Estimating intrinsic dimensionality using the multi-criteria decision weighted model and the average standard estimator , 2010, Inf. Sci..
[16] Thorsten M. Buzug,et al. Characterising experimental time series using local intrinsic dimension , 1995 .
[17] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[18] H. Sebastian Seung,et al. The Manifold Ways of Perception , 2000, Science.
[19] Keinosuke Fukunaga,et al. An Algorithm for Finding Intrinsic Dimensionality of Data , 1971, IEEE Transactions on Computers.
[20] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[21] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[22] Feiping Nie,et al. Nonlinear Dimensionality Reduction with Local Spline Embedding , 2009, IEEE Transactions on Knowledge and Data Engineering.
[23] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[24] Bo Zhang,et al. Intrinsic dimension estimation of manifolds by incising balls , 2009, Pattern Recognit..
[25] Ivor W. Tsang,et al. Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction , 2010, IEEE Transactions on Image Processing.
[26] I. Jolliffe. Principal Component Analysis , 2002 .
[27] Siu-Wing Cheng,et al. Dimension detection via slivers , 2009, SODA.
[28] Jose A. Costa,et al. Estimating Local Intrinsic Dimension with k-Nearest Neighbor Graphs , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
[29] Peter J. Bickel,et al. Maximum Likelihood Estimation of Intrinsic Dimension , 2004, NIPS.
[30] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[31] Svetlana Lazebnik,et al. Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization , 2005, NIPS.
[32] Francesco Camastra,et al. Data dimensionality estimation methods: a survey , 2003, Pattern Recognit..
[33] Csaba Szepesvári,et al. Manifold-Adaptive Dimension Estimation , 2007, ICML '07.
[34] Yajun Wang,et al. Provable dimension detection using principal component analysis , 2005, Symposium on Computational Geometry.
[35] Matthias Hein,et al. Intrinsic dimensionality estimation of submanifolds in Rd , 2005, ICML.