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| \definecolor{colorsrc}{rgb}{0.36, 0.54, 0.66} | ||
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| % \definecolor{colornan}{rgb}{0.5, 0.5, 0.5} | ||
| % \definecolor{colornan}{rgb}{0.43, 0.21, 0.1} | ||
| % \definecolor{auburn}{rgb}{0.43, 0.21, 0.1} | ||
| % \definecolor{colorwnd2}{rgb}{1, .44, .37} | ||
| \definecolor{colorlcksvd}{rgb}{0.91, 0.84, 0.42} | ||
| \definecolor{colorlcksvdd}{rgb}{0.8, 0.0, 0.1} | ||
| \definecolor{colorlcksvd}{rgb}{1, 0.56, 0.0} | ||
| % \definecolor{colornan}{rgb}{0, 0.8, 0.0} | ||
| % \definecolor{colorsrc}{rgb}{0.5, 1, 0} | ||
| % \definecolor{colorfdd}{rgb}{0.6, 0.4, 0.8} | ||
| % \definecolor{colorfdd}{rgb}{0.93, 0.53, 0.18} | ||
| \definecolor{colorfddl}{rgb}{0.44, 0.16, 0.39} | ||
| \definecolor{colordlsi}{rgb}{0.55, 0.71, 0.0} | ||
| % \definecolor{colorlck}{rgb}{0.43, 0.21, 0.1} | ||
| % \definecolor{colorlck}{rgb}{0.89, 0.82, 0.04} | ||
| % \definecolor{colorlck}{rgb}{0.03, 0.27, 0.49} | ||
| \definecolor{colorcopar}{rgb}{0.9, .0, 0} | ||
| % \definecolor{colorlrsd}{rgb}{0.72, 0.53, 0.04} | ||
| \definecolor{darkcyan}{rgb}{0.0, 0.55, 0.55} | ||
| \definecolor{colordlr}{rgb}{0.0, 0.55, 0.55} | ||
| \definecolor{colorlrsdl}{rgb}{0.0, 0.2, 1.0} % blue | ||
| % \definecolor{colorlck}{rgb}{0.5, 0.5, 0.0} | ||
| % \definecolor{colorlck}{rgb}{0.0, 0.42, 0.24} | ||
| \definecolor{colorlck}{rgb}{0.0, 0.9, 0.9} | ||
| \definecolor{pinegreen}{rgb}{0.0, 0.47, 0.44} | ||
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| \def\myaddplotlrsdl{\addplot+[thick, colorlrsdl, solid, mark = square*, mark size=1.4, mark options={colorlrsdl}]} | ||
| \def\myaddplotfddl{\addplot+[thick, colorfddl, mark = diamond*, mark size=1.4, mark options={colorfddl}]} | ||
| \def\myaddplotlcksvd{\addplot+[thick, colorlcksvd, mark = x, mark size=1.8, mark options={colorlcksvd}]} | ||
| \def\myaddplotlcksvdd{\addplot+[thick, green, mark = triangle, mark size=1.4, mark options={green}]} | ||
| \def\myaddplotdlsi{\addplot+[thick, colordlsi, mark = *, mark size=1.4, mark options={fill = white}]} | ||
| \def\myaddplotsrc{\addplot+[thick, colorsrc, mark = diamond, mark size=1.4, mark options={colorsrc}]} | ||
| \def\myaddplotcopar{\addplot+[thick, colorcopar, solid, mark = *, mark size=1.4, mark options={colorcopar}]} | ||
| \def\myaddplotdlr{\addplot+[thick, colordlr, solid, dashed, mark = triangle*, mark size=1.4, mark options={colordlr}]} | ||
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| % \def\myaddplotcopar{\addplot+[colorcopar, mark = square*, mark options={colorcopar}]} | ||
| % \def\myaddplotdfd{\addplot+[colordfd, mark options={colordfd}]} | ||
| % \def\myaddplotfdd{\addplot+[colorfdd, mark options={colorfdd}]} | ||
| % \def\myaddplotlck{\addplot+[colorlck, mark options={colorlck}]} | ||
| % \def\myaddplotnan{\addplot+[colornan, mark options={colornan}]} | ||
| % \def\myaddplotwnd{\addplot+[colorwnd, mark options={colorwnd}]} | ||
| % \def\wnd{{black,fill=colorwnd}} | ||
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| \def\x{{\mathbf x}} | ||
| \def\L{{\cal L}} | ||
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| \newcommand{\vect}[1]{\mathbf{#1}} | ||
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| \newcommand{\mat}[1]{\mathbf{#1}} | ||
| \newcommand{\abs}[1]{\left|#1\right|} | ||
| \newcommand{\norm}[1]{\left\|#1\right\|} | ||
| % \newcommand{\R}{\mathbb{R}} | ||
| \newcommand{\Z}{\mathbb{Z}} | ||
| \newcommand{\tb}{\textbf} | ||
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| \def\bmt{\left[\begin{matrix}} | ||
| \def\dpcm{$\square$} | ||
| \def\emt{\end{matrix}\right]} | ||
| % \def\proof{\underline{Proof:}\\} | ||
| \def\dpcm{$\square$} | ||
| \def\half{\frac{1}{2}} | ||
| \def\imply{\Rightarrow} | ||
| \def\foralli{\forall i = 1, 2, \dots, n} | ||
| \def\im{\mathrm{im}} | ||
| \def\ker{\mathrm{ker}} | ||
| \def\eqv{\Leftrightarrow} | ||
| \def\tcg{\textcolor{newgreen}} | ||
| \def\mb{\mathbf} | ||
| \def\tb{\textbf} | ||
| \def\mb {\mathbf} | ||
| \def\mc {\mathcal} | ||
| \def\tcb{\textcolor{blue}} | ||
| \def\tcg{\textcolor{green}} | ||
| \def\tcr{\textcolor{red}} | ||
| \def\tcgr{\textcolor{gray}} | ||
| \def\bx{\mathbf{x}} | ||
| % \def\bW{\mathbf{W}} | ||
| \def\ba{\mathbf{a}} | ||
| \def\bb{\mathbf{b}} | ||
| \def\bc{\mathbf{c}} | ||
| \def\bd{\mathbf{d}} | ||
| \def\be{\mathbf{e}} | ||
| \def\fb{\mathbf{f}} | ||
| \def\bg{\mathbf{g}} | ||
| \def\bh{\mathbf{h}} | ||
| \def\bm{\mathbf{m}} | ||
| \def\M{\mathcal{M}} | ||
| \def\bp{\mathbf{p}} | ||
| \def\bq{\mathbf{q}} | ||
| \def\bs{\mathbf{x}} | ||
| \def\bu{\mathbf{u}} | ||
| \def\bv{\mathbf{v}} | ||
| \def\by{\mathbf{y}} | ||
| \def\bz{\mathbf{z}} | ||
| \def\and{\text{~and~}} | ||
| \def\barN{\bar{N}} | ||
| \def\barNi{\bar{N}_i} | ||
| \def\trace{\textrm{trace}} | ||
| \def\etal{\textit{et al.}} | ||
| \def\R{\mathbb{R}} | ||
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| \def\bzeros{\mathbf{0}} | ||
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| \def\bA{\mathbf{A}} | ||
| \def\bB{\mathbf{B}} | ||
| \def\bD{\mathbf{D}} | ||
| \def\bE{\mathbf{E}} | ||
| \def\Fb{\mathbf{F}} | ||
| \def\bG{\mathbf{G}} | ||
| \def\bL{\mathbf{L}} | ||
| \def\bH{\mathbf{H}} | ||
| \def\bI{\mathbf{I}} | ||
| \def\bJ{\mathbf{J}} | ||
| \def\bM{\mathbf{M}} | ||
| \def\bN{\mathbf{N}} | ||
| \def\bP{\mathbf{P}} | ||
| \def\bQ{\mathbf{Q}} | ||
| \def\bR{\mathbf{R}} | ||
| \def\bS{\mathbf{S}} | ||
| \def\bU{\mathbf{U}} | ||
| \def\bV{\mathbf{V}} | ||
| \def\bW{\mathbf{W}} | ||
| \def\bX{\mathbf{X}} | ||
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| \def\bY{\mathbf{Y}} | ||
| \def\bZ{\mathbf{Z}} | ||
| \def\rank{\text{rank}} | ||
| \def\bDi{\mathbf{D}_i} | ||
| % \def\bSi{\mathbf{X}_i} | ||
| \def\bXi{\mathbf{X}_i} | ||
| % \def\bSi{\mathbf{X}_i} | ||
| \def\barX{\bar{\mathbf{X}}} | ||
| \def\barD{\bar{\mathbf{D}}} | ||
| \def\barX{\bar{\mathbf{X}}} | ||
| \def\barXi{\bar{\mathbf{X}}_i} | ||
| \def\barDi{\bar{\mathbf{D}}_i} | ||
| \def\barXi{\bar{\mathbf{X}}_i} | ||
| \def\bW{\mathbf{W}} | ||
| \def\bw{\mathbf{w}} | ||
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| \def\la{\langle} | ||
| \def\ra{\rangle} | ||
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| \def\bDc{\bD_{0}} | ||
| \def\bXc{\bX^{0}} | ||
| \def\mM{\mathcal{M}} | ||
| \def\wt{\widetilde} | ||
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| \def\bbX{\lbar{\bX}} | ||
| \def\bbx{\lbar{\bx}} | ||
| \def\bbY{\lbar{\bY}} | ||
| \def\bbD{\lbar{\bD}} | ||
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| %% ================== block: Slide footnotes ========================== | ||
| \def\footnoteSRC{\setcounter{footnote}{3}\footnote[frame]{\tiny J. Wright et al., Robust face recognition via sparse representation, IEEE TPAMI, 2009}} | ||
| \def\footnoteLLC{\setcounter{footnote}{4}\footnote[frame]{\tiny H. Zhang et. al., Locality-constrained linear coding for image classification, CPVR 2010}} | ||
| \def\footnoteJSRC{\setcounter{footnote}{5}\footnote[frame]{\tiny Yen, Multi-View Automatic Target Recognition using Joint Sparse Representation, Aerospace and Electronic Sys. 2012}} | ||
| \def\footnoteJDSRC{\setcounter{footnote}{6}\footnote[frame]{\tiny J. Wang et. al., Joint dynamic sparse representation for multi-view face recognition, PR 2012}} | ||
| \def\footnoteSHIRC{\setcounter{footnote}{7}\footnote[frame]{\tiny U. Srinivas et. al., Simultaneous sparsity model for histopathological image representation and classification, TMI 2014}} | ||
| \def\footnoteKSVD{\setcounter{footnote}{8}\footnote[frame]{\tiny M. Elad et. al., K -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, TSP 2006 }} | ||
| \def\footnoteODL{\setcounter{footnote}{9}\footnote[frame]{\tiny J. Mairal et. al., Online learning for matrix factorization and sparse coding, JMLR 2010}} | ||
| \def\footnoteDKSVD{\setcounter{footnote}{10}\footnote[frame]{\tiny Q. Zhang, B. Li, Discriminative K-SVD for dictionary learning in face recognition, CVPR 2010 }} | ||
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| \def\footnoteLCKSVD{\setcounter{footnote}{11}\footnote[frame]{\tiny Z. Jiang et. al., Label consistent K-SVD: Learning a discriminative dictionary for recognition, TPAMI 2013}} | ||
| \def\footnoteFDDL{\setcounter{footnote}{12}\footnote[frame]{\tiny M. Yang et. al., Fisher discrimination dictionary learning for sparse representation, ICCV 2011, IJCV 2014 }} | ||
| \def\footnoteDLR{\setcounter{footnote}{20}\footnote[frame]{\tiny L. Li et. al., Learning low-rank and discriminative dictionary for image classification, Image and Vision Computing, 2014}} | ||
| \def\footnoteOMP{\setcounter{footnote}{13}\footnote[frame]{\tiny Tropp et. al., Signal recovery from random measurements via orthogonal matching pursuit, IEEE Transactions on Information Theory 2007}} | ||
| \def\footnoteNANDITA{\setcounter{footnote}{14}\footnote[frame]{\tiny N. Nayak et. al., Classification of tumor histopathology via sparse feature learning, ISBI 2013}} | ||
| \def\footnoteWNDCHARM{\setcounter{footnote}{15}\footnote[frame]{\tiny L. Shamir et. al., WNDCHARM--an open source utility for biological image analysis, Source Code Biol. Med., 2008}} | ||
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| \def\footnoteDFDLTMI{\setcounter{footnote}{16}\footnote[frame]{\tiny \tcr{T. Vu} et. al., Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning, TMI 2015}} | ||
| \def\footnoteADMM{\setcounter{footnote}{17}\footnote[frame]{\tiny S. Boyd et. al., Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends in Machine Learning, 2011}} | ||
| \def\footnoteFISTA{\setcounter{footnote}{18}\footnote[frame]{\tiny A. Beck et. al., A fast iterative shrinkage-thresholding algorithm for linear inverse problems, SIAM journal on Imaging sciences, 2009}} | ||
| \def\footnoteHojjatJPI{\setcounter{footnote}{19}\footnote[frame]{\tiny H. Mousavi \etal, Automated discrimination of lower and higher grade gliomas based on histopathological image analysis, JPI, 2015}} | ||
| % \def\footnote | ||
| % \def\footnoteDLSI{\setcounter{footnote}{3}\footnote[frame]{\tiny I. Ramirez et. al., IEEE Computer Vision and Pattern Recognition (CVPR), 2010 }} | ||
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| \def\footnotea{\setcounter{footnote}{3}\footnote[frame]{\tiny H. Chang et. al., IEEE Transactions on Medical Imaging (TMI), 2013}} | ||
| \def\footnoteb{\setcounter{footnote}{4}\footnote[frame]{\tiny E. Ozdemir et. al., IEEE Transactions on Medical Imaging (TMI), 2013}} | ||
| \def\footnotec{\setcounter{footnote}{5}\footnote[frame]{\tiny M. Murat Dundar et. al., IEEE Transactions on Biomedical Engineering (TBME), 2011}} | ||
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| \def\footnoteGDDL{\setcounter{footnote}{21}\footnote[frame]{\tiny Suo et. al., Structured dictionary learning for classification, submitted to TSP 2014}} | ||
| \def\footnoteDLCORPA{\setcounter{footnote}{22}\footnote[frame]{\tiny S. Kong et. al., ECCV 2012}} | ||
| \def\footnoteDDLPC{\setcounter{footnote}{23}\footnote[frame]{\tiny Guo et. al., ACCV 2012}} | ||
| \def\footnoteLPDDL{\setcounter{footnote}{24}\footnote[frame]{\tiny Haghiri et. al., ICIP 2014}} | ||
| \def\footnoteDLSI{\setcounter{footnote}{25}\footnote[frame]{\tiny Ramirez et. al., Classification and clustering via dictionary learning with structured incoherence and shared features, CVPR 2010}} | ||
| \def\footnoteDFDL{\setcounter{footnote}{26}\footnote[frame]{\tiny T. Vu et. al., ISBI 2015}} | ||
| \def\footnoteDLRDSR{\setcounter{footnote}{27}\footnote[frame]{\tiny L. Ma et. al., CVPR 2012}} | ||
| \def\footnoteTDDL{\setcounter{footnote}{28}\footnote[frame]{\tiny J. Mairal et. al., ``Task-driven dictionary learning'', TPAMI, 2012}} | ||
| \def\footnoteTDDLLP{\setcounter{footnote}{29}\footnote[frame]{\tiny X. Sun, N. Nasrabadi, T. Tran, ``Task-driven dictionary learning for hyperspectral image classification with structured sparsity constraints'', TGRS, 2015}} | ||
| \def\footnoteJohn{\setcounter{footnote}{30}\footnote[frame]{\tiny J. Mckay, V. Monga \etal, Pose corrected sparsity for robust SONAR ATR, IGRSS, 2016}} | ||
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| \def\diag{\text{diag}} | ||
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| %% ------------------end of block: Slide footnotes ---------------------------- | ||
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| \newcommand{\myFormA}[1]{\bmt #1 & \bzeros & \dots & \bzeros \\ \bzeros & #1 & \dots & \bzeros \\ \dots & \dots & \dots & \dots \\ \bzeros & \bzeros & \dots & #1 \emt} | ||
| \newcommand{\myFormB}[1]{\bmt #1 & #1 & \dots & #1 \\ #1 & #1 & \dots & #1 \\ \dots & \dots & \dots & \dots \\ #1 & #1 & \dots & #1 \emt} | ||
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| %% ========= long bar notation ============================== | ||
| \makeatletter | ||
| \newsavebox\myboxA | ||
| \newsavebox\myboxB | ||
| \newlength\mylenA | ||
| \newcommand*\lbar[2][.75]{% | ||
| \sbox{\myboxA}{$\m@th#2$}% | ||
| \setbox\myboxB\null% Phantom box | ||
| \ht\myboxB=\ht\myboxA% | ||
| \dp\myboxB=\dp\myboxA% | ||
| \wd\myboxB=#1\wd\myboxA% Scale phantom | ||
| \sbox\myboxB{$\m@th\overline{\copy\myboxB}$}% Overlined phantom | ||
| \setlength\mylenA{\the\wd\myboxA}% calc width diff | ||
| \addtolength\mylenA{-\the\wd\myboxB}% | ||
| \ifdim\wd\myboxB<\wd\myboxA% | ||
| \rlap{\hskip 0.5\mylenA\usebox\myboxB}{\usebox\myboxA}% | ||
| \else | ||
| \hskip -0.3\mylenA\rlap{\usebox\myboxA}{\hskip 0.3\mylenA\usebox\myboxB}% | ||
| \fi} | ||
| \makeatother | ||
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| \def\lbD{\lbar{\bD}} | ||
| \def\lbY{\lbar{\bY}} | ||
| \def\lbX{\lbar{\bX}} | ||
| % \def\lbX{\overline{\mathbf{X}}} | ||
| % \def\lbY{\overline{\mathbf{Y}}} |
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| @@ -0,0 +1 @@ | ||
| \relax |
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