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\BIBdecl

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\bibitem{YiMa_SR}
J.~Wright, Y.~Ma, J.~Mairal, G.~Sapiro, T.~Huang, and S.~Yan, ``Sparse
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\bibitem{Elad_SR}
M.~Elad, M.~Figueiredo, and Y.~Ma, ``On the role of sparse and redundant
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\bibitem{patel_ACPR}
V.~M. Patel and R.~Chellappa, ``Sparse representations, compressive sensing and
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  Recognition (ACPR), Beijing, China}, 2011.

\bibitem{BP}
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\bibitem{omp}
Y.~C. Pati, R.~Rezaiifar, and P.~S. Krishnaprasad, ``Orthogonal matching
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J.~A. Tropp, ``Greed is good: Algorithmic results for sparse approximation,''
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\bibitem{Fields}
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\bibitem{Patel_TIFS}
V.~M. Patel, T.~Wu, S.~Biswas, P.~J. Phillips, and R.~Chellappa,
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  no.~3, pp. 954--965, June 2012.

\bibitem{Elad_KSVD}
M.~Aharon, M.~Elad, and A.~Bruckstein, ``{k-SVD}: An algorithm for designing
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\bibitem{Etemand_TIP}
K.~Etemand and R.~Chellappa, ``Separability-based multiscale basis selection
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\bibitem{fisher-iccv11}
M.~Yang, X.~F. L.~Zhang, and D.~Zhang, ``Fisher discrimination dictionary
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\bibitem{shapiro_ima}
F.~Rodriguez and G.~Sapiro, ``Sparse representations for image classification:
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\bibitem{somp_lda}
E.~Kokiopoulou and P.~Frossard, ``Semantic coding by supervised dimensionality
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\bibitem{sparse_nips}
K.~Huang and S.~Aviyente, ``Sparse representation for signal classification,''
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\bibitem{Bach_PAMI2011}
J.~Mairal, F.~Bach, and J.~Ponce, ``Task-driven dictionary learning,''
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\bibitem{bach1}
J.~Mairal, F.~Bach, J.~Pnce, G.~Sapiro, and A.~Zisserman, ``Discriminative
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  Society Conf. on Computer Vision and Patt. Recn., Anchorage}, 2008.

\bibitem{bach4}
J.~Mairal, F.~Bach, J.~Ponce, G.~Sapiro, and A.~Zisserman, ``Supervised
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\bibitem{Zhang10}
Q.~Zhang and B.~Li, ``Discriminative {k-SVD} for dictionary learning in face
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\bibitem{Jiang11}
Z.~Jiang, Z.~Lin, and L.~S. Davis, ``Learning a discriminative dictionary for
  sparse coding via label consistent {k-SVD},'' in \emph{IEEE Computer Society
  Conf. on Computer Vision and Patt. Recn., Colorado Springs}, June 2011.

\bibitem{iccv11-qiu}
Q.~Qiu, Z.~Jiang, and R.~Chellappa, ``Sparse dictionary-based representation
  and recognition of action attributes,'' in \emph{Proc. Intl. Conf. Computer
  Vision, Barcelona, Spain}, Nov. 2011.

\bibitem{somp}
J.~A. Tropp, A.~C. Gilbert, and M.~J. Strauss, ``Algorithms for simultaneous
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  vol.~86, pp. 572--588, 2006.

\bibitem{Guestrin08}
A.~Krause, A.~Singh, and C.~Guestrin, ``Near-optimal sensor placements in
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\bibitem{Hellman70}
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\bibitem{Bishop:2006}
C.~M. Bishop, \emph{Pattern Recognition and Machine Learning}.\hskip 1em plus
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\bibitem{Torkkola:2003}
K.~Torkkola, ``Feature extraction by non parametric mutual information
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\bibitem{info-kapur}
J.~Kapur, ``Measures of information and their applications,'' 1994, wiley.

\bibitem{few_to_many}
A.~S. Georghiades, P.~N. Belhumeur, and D.~J. Kriegman, ``From few to many:
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\bibitem{USPS}
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\bibitem{scene_15}
S.~Lazebnik, C.~Schmid, and J.~Ponce, ``Beyond bags of features: Spatial
  pyramid matching for recognizing natural scene categories,'' in \emph{IEEE
  Computer Society Conf. on Computer Vision and Patt. Recn., New York, NY},
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\bibitem{yang-cvpr09}
J.~Yang, K.~Yu, Y.~Gong, and T.~Huang, ``Linear spatial pyramid matching using
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  Society Conf. on Computer Vision and Patt. Rec., Miami, FL}, June 2009.

\bibitem{Gemert-eccv08}
J.~C. Gemert, J.-M. Geusebroek, C.~J. Veenman, and A.~W. Smeulders, ``Kernel
  codebooks for scene categorization,'' in \emph{Proc. European Conf. on
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\bibitem{SRC}
J.~Wright, A.~Yang, A.~Ganesh, S.~Sastry, and Y.~Ma, ``Robust face recognition
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\bibitem{llc-cvpr10}
J.~Wang, J.~Yang, K.~Yu, F.~Lv, T.~Huang, and Y.~Gong, ``Locality-constrained
  linear coding for image classification,'' in \emph{Proc. IEEE Computer
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\end{thebibliography}
