569 lines
16 KiB
BibTeX
569 lines
16 KiB
BibTeX
@book{quatieri2002dts,
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title={{Discrete-time speech signal processing}},
|
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author={Quatieri, T.F.},
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year={2002},
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publisher={Prentice Hall Upper Saddle River, NJ}
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}
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@book{moore2000ahu,
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title={{The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional
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Data}},
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author={Moore, A.W.},
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year={2000},
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publisher={Carnegie Mellon University, the Robotics Institute}
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}
|
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@article{ravindran:inr,
|
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title={{Improving the Noise-Robustness of Mel-Frequency Cepstral Coefficients for Speech
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Processing}},
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author={Ravindran, S. and Anderson, D.V. and Slaney, M.}
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}
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@article{jansen2006ifa,
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title={{Intrinsic Fourier Analysis on the Manifold of Speech Sounds}},
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author={Jansen, A. and Niyogi, P.},
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journal={Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006
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IEEE International Conference on},
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volume={1},
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year={2006}
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}
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@article{scholkopf:nca,
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title={{Nonlinear Component Analysis as a Kernel Eigenvalue Problem}},
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author={Scholkopf, B. and Smola, A. and Muller, K.R.},
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journal={Neural Computation},
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publisher={MIT Press}
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}
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@article{coifman2006dm,
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title={{Diffusion maps}},
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author={Coifman, R.R. and Lafon, S.},
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journal={Applied and Computational Harmonic Analysis},
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year={2006}
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}
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@article{gray2000nbp,
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title={{N-Body’problems in statistical learning}},
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author={Gray, A. and Moore, A.W.},
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journal={NIPS},
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pages={521--527},
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year={2000}
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}
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@report{moore-tutorial,
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Howpublished = {Extract from PhD Thesis},
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Year = {1991},
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Booktitle = {University of Cambridge Computer Laboratory Technical Report No. 209},
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Note = {Available from http://www.cs.cmu.edu/$sim$awm/papers.html},
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Author = {Andrew Moore},
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Title = {A tutorial on kd-trees}
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}
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@Article{ shamma_main,
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AUTHOR = {Kuansan Wang and Shihab Shamma},
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YEAR = {1994},
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TITLE = {Self-Normalization and Noise-Robustness in Early Auditory
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Representations},
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JOURNAL = {IEEE Transactions on Speech and Audio Processing},
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volume = {2},
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number = {3},
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pages = {421-435},
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month = {July},
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supersedes = {D-<oldumber>},
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SEMNO = {D-<newnumber>},
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PUF = {Artikel optaget i tidsskrift},
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ID = {Art2}
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}
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@article{hastie1996dan,
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title={{Discriminant adaptive nearest neighbor classification}},
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author={Hastie, T. and Tibshirani, R.},
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@BOOK{Silverman,
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AUTHOR = "B.W. Silverman",
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TITLE = "Density Estimation for Statistics and Data Analysis",
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PUBLISHER = "CRC Publications",
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YEAR= { 1998 } }
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@INPROCEEDINGS{Lafon,
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AUTHOR = "Stephane S. Lafon",
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TITLE = "Diffusion Maps and Geometric Harmonics",
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BOOKTITLE = "PhD Thesis", ADDRESS = "Yale University", YEAR =
|
||
{2004} }
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@INPROCEEDINGS{Belkin,
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AUTHOR = "Mikhail Belkin",
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TITLE = "Problems of learning on manifolds",
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BOOKTITLE = "PhD Thesis", ADDRESS = "University of Chicago",
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YEAR = {2003} }
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@BOOK{Cvetkovic,
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AUTHOR = "Cvetkovic Dragos",
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TITLE = "Spectra of graphs : theory and application ",
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PUBLISHER = "Academic Press",
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YEAR= { 1980 } }
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@article{gray2001nbp,
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title={{N-Body problems in statistical learning}},
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author={Gray, A. and Moore, A.W.},
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journal={Advances in Neural Information Processing Systems},
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volume={13},
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year={2001}
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}
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@article{jenssen17lpd,
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title={{The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space}},
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author={Jenssen, R. and Erdogmus, D. and Principe, JC and Eltoft, T.},
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journal={Advances in Neural Information Processing Systems},
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@article{girolami2002osd,
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title={{Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem}},
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journal={Neural Computation},
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volume={14},
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}
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@article{zelnikmanor2004sts,
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title={{Self-tuning spectral clustering}},
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author={Zelnik-Manor, L. and Perona, P.},
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journal={Advances in Neural Information Processing Systems},
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pages={1601--1608},
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year={2004}
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}
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@article{gray2003rem,
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title={{Rapid evaluation of multiple density models}},
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author={Gray, A. and Moore, A.},
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volume={2003},
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year={2003}
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}
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title={{The fast Gauss transform with variable scales}},
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title={{Dual-Tree Fast Gauss Transforms}},
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author={Lee, D. and Gray, A. and Moore, A.}
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}
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@book{boyd2004co,
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title={{Convex Optimization}},
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author={Boyd, S.P. and Vandenberghe, L.},
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year={2004},
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publisher={Cambridge University Press}
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}
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title={{Semidefinite Programming}},
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title={{Iterative Methods for Sparse Linear Systems}},
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author={Saad, Y.},
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title={{Generalized Hebbian Algorithm for Incremental Singular Value Decomposition in Natural Language Processing}},
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@article{belkin2001led,
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title={{Laplacian Eigenmaps for Dimensionality Reduction and Data Representation.}},
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author={Belkin, M. and Niyogi, P. and Belkin, M. and Niyogi, P. and Vert, J.P. and Kanehisa, M. and Smola, A.J. and Kondor, R. and Lafferty, J. and Lebanon, G. and others},
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title={{Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment}},
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author={Zhang, Z. and Zha, H.},
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journal={Arxiv preprint cs.LG/0212008},
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title={{Algorithms for non-negative matrix factorization}},
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title={{Non-negative Matrix Factorization with Sparseness Constraints}},
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title={{Learning a kernel matrix for nonlinear dimensionality reduction}},
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title={{A Multilinear Singular Value Decomposition}},
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title={{Learning with kernels: support vector machines, regularization, optimization, and beyond}},
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author={Sch{\"o}lkopf, B. and Smola, A.J.},
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