On the Role of ML Estimation and Bregman Divergences in Sparse Representation of Covariance and Precision Matrices
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[1] Ramesh A. Gopinath,et al. Maximum likelihood modeling with Gaussian distributions for classification , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[2] Vassilios Morellas,et al. Tensor Sparse Coding for Region Covariances , 2010, ECCV.
[3] Yongqiang Wang,et al. Modeling inverse covariance matrices by expansion of tied basis matrices for online handwritten Chinese character recognition , 2009, Pattern Recognit..
[4] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[5] Vassilios Morellas,et al. Tensor Sparse Coding for Positive Definite Matrices , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Robert N. McDonough,et al. Detection of signals in noise , 1971 .
[7] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[8] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[9] Larry S. Davis,et al. Discriminative Tensor Sparse Coding for Image Classification , 2013, BMVC.
[10] C. Helstrom,et al. Statistical theory of signal detection , 1968 .
[11] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[12] S. Kullback,et al. Information Theory and Statistics , 1959 .
[13] H. Akaike. A new look at the statistical model identification , 1974 .
[14] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[15] Miodrag Lovric,et al. International Encyclopedia of Statistical Science , 2011 .
[16] A. Whalen. Statistical theory of signal detection and parameter estimation , 1984, IEEE Communications Magazine.
[17] Vladimir S. Crnojevic,et al. Sparse representation of precision matrices used in GMMs , 2014, Applied Intelligence.
[18] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[19] Sailes K. Sengijpta. Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .
[20] Solomon Kullback,et al. Information Theory and Statistics , 1970, The Mathematical Gazette.
[21] Peder A. Olsen,et al. Modeling inverse covariance matrices by basis expansion , 2002, IEEE Transactions on Speech and Audio Processing.
[22] Michael Elad,et al. On the Role of Sparse and Redundant Representations in Image Processing , 2010, Proceedings of the IEEE.
[23] Thomas M. Cover,et al. Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) , 2006 .
[24] Scott Axelrod,et al. Modeling with a subspace constraint on inverse covariance matrices , 2002, INTERSPEECH.
[25] S. Sra. Positive definite matrices and the S-divergence , 2011, 1110.1773.
[26] Ananth Sankar,et al. Mixtures of inverse covariances , 2003, IEEE Transactions on Speech and Audio Processing.