Enhancing the correntropy MACE filter with random projections
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[1] P. P. Pokharel,et al. Correntropy Based Matched Filtering , 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.
[2] Jose C. Principe,et al. Recent advances to nonlinear minimum average correlation energy filters , 1997 .
[3] José Carlos Príncipe,et al. The Fast Correntropy Mace Filter , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[4] Dmitriy Fradkin,et al. Experiments with random projections for machine learning , 2003, KDD '03.
[5] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[6] Weifeng Liu,et al. The correntropy MACE filter , 2009, Pattern Recognit..
[7] J. Príncipe,et al. The Correntropy Mace Filter for Image Recognition , 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.
[8] Marios Savvides,et al. Correlation Pattern Recognition for Face Recognition , 2006, Proceedings of the IEEE.
[9] Heikki Mannila,et al. Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.
[10] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[11] Gene H. Golub,et al. Matrix computations , 1983 .
[12] José Carlos Príncipe,et al. Kernel Based Synthetic Discriminant Function for Object Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[13] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[14] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[15] G. Turin,et al. An introduction to matched filters , 1960, IRE Trans. Inf. Theory.
[16] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[17] Dimitris Achlioptas,et al. Database-friendly random projections , 2001, PODS.
[18] George Bebis,et al. Face recognition experiments with random projection , 2005, SPIE Defense + Commercial Sensing.
[19] Deniz Erdogmus,et al. Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..
[20] Dimitris Achlioptas,et al. Database-friendly random projections: Johnson-Lindenstrauss with binary coins , 2003, J. Comput. Syst. Sci..
[21] Deniz Erdogmus,et al. A Closed Form Solution for a Nonlinear Wiener Filter , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[22] Sanjoy Dasgupta,et al. Experiments with Random Projection , 2000, UAI.
[23] D. Casasent,et al. Minimum average correlation energy filters. , 1987, Applied optics.
[24] David G. Stork,et al. Pattern Classification , 1973 .
[25] Weifeng Liu,et al. Correntropy: A Localized Similarity Measure , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[26] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[27] D Casasent,et al. Multivariant technique for multiclass pattern recognition. , 1980, Applied optics.
[28] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[29] Abhijit Mahalanobis,et al. Biometric verification with correlation filters. , 2004, Applied optics.
[30] B. V. K. Vijaya Kumar,et al. Correlation Pattern Recognition , 2002 .
[31] Henrik Boström,et al. Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification , 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).
[32] Paul Wintz,et al. Digital image processing (2nd ed.) , 1987 .
[33] B. V. Vijaya Kumar,et al. Minimum-variance synthetic discriminant functions , 1986 .
[34] José Carlos Príncipe,et al. Generalized correlation function: definition, properties, and application to blind equalization , 2006, IEEE Transactions on Signal Processing.
[35] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[36] Weifeng Liu,et al. Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.
[37] B V Kumar,et al. Tutorial survey of composite filter designs for optical correlators. , 1992, Applied optics.
[38] A. B. Vanderlugt. SIGNAL DETECTION BY COMPLEX SPATIAL FILTERING , 1963 .