latex beamer技巧

%章节标题
section{Related work(LSH)}
%开始一页ppt
egin{frame}{Related work}{}

partitle{Locality-Sensitive Hashing, LSH} \ vspace{1ex}

qquad  LSH reduces the dimensionality of alert{high-dimensional data}. LSH hashes input items so that similar items map to the same “buckets” with high probability. footnote{Locality-Sensitive Hashing, LSH. Wikipedia}

vspace{2ex}
%插入图片
egin{figure}[H]
    includegraphics[width=6cm,height=3cm]{2}
    hspace{3ex} 
    includegraphics[width=4cm,height=3cm]{3}
end{figure}

end{frame}

 下面是整个ppt的模板

documentclass[10pt, aspectratio=43]{beamer}
usepackage[utf8]{inputenc}
usepackage[english]{babel}
usepackage{verbatim}
usepackage{amsmath, amsfonts, amssymb, amsthm, bm}
usepackage{graphicx, tikz, pgfplots}
usepackage{times, courier, verbatim}
usepackage{multicol, multirow}
usepackage{booktabs}
usepackage{caption}
%usepackage[UTF8,noindent]{ctexcap}
usetheme{CambridgeUS}
usecolortheme{seahorse}
%主题：AnnArbor Antibes Bergen Berkeley Berlin Boadilla boxes CambridgeUS Copenhagen Darmstadt default Dresden Frankfurt Goettingen Hannover Ilmenau JuanLesPinsLuebeck Madrid Malmoe Marburg Montpellier PaloAlto Pittsburgh Rochester Singapore Szeged Warsaw
%颜色：albatross beaver beetle crane default dolphin dove fly lily orchid rose seagull seahorse sidebartab structure whale wolverine

defbeamertemplate*{footline}{myfootline}
{%
    leavevmode%
    egin{beamercolorbox}[wd=.333333paperwidth,ht=2.5ex,dp=1.125ex,center]{author in head/foot} Shan Yiran %
    end{beamercolorbox}%
    egin{beamercolorbox}[wd=.333333paperwidth,ht=2.5ex,dp=1.125ex,center]{subsection in head/foot} Group\_meeting %
    end{beamercolorbox}%
    egin{beamercolorbox}[wd=.333333paperwidth,ht=2.5ex,dp=1.125ex,center]{time in head/foot}
        usebeamerfont{date in head/foot}insertshortdate{}hspace*{2em}
        insertframenumber{} / inserttotalframenumberhspace*{2ex}
    end{beamercolorbox}%
    vskip0pt%
}


ewcommand{partitle}[1]{underline{	extbf{large#1}}}
setlength{columnsep}{2ex}
setbeamertemplate{items}[ball]
%
enewcommand	hesection{arabic{section}} 
%
enewcommand	hesubsection{	hesection.arabic{subsection}}

egin{document}
    setbeamertemplate{footline}{}
    ibliographystyle{unsrt}
    	itle{Graph Neural Networks}
    subtitle {A review of Methods and Applications}
    author{Shan Yiran}
    institute {BNRIST Bioinformatics Division\ Department of Automation \Tsinghua University,Beijing 100084, China
    }
    date{	oday}
    setbeamercovered{invisible}
    setbeamertemplate{navigation symbols}{}
%第一页ppt
egin{frame}
	itlepage
end{frame}

egin{frame}

egin{center}
    includegraphics[width=1linewidth]{1}
end{center}



end{frame}
%测试ppt
egin{frame}
frametitle{Frame title}
egin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
end{block}
egin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
end{exampleblock}
egin{alertblock}{Conclusion}
    Simmons Hall $
ot=$ Simmons Dormitory.
end{alertblock}
end{frame}

%第二页ppt


egin{frame}
frametitle{Frame title}
egin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
end{block}
egin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
end{exampleblock}
egin{alertblock}{Conclusion}
    Simmons Hall $
ot=$ Simmons Dormitory.
end{alertblock}
end{frame}

setbeamertemplate{footline}[myfootline]

egin{frame}{Content}
setbeamertemplate{section in toc}[]
	ableofcontents[]
end{frame}

AtBeginSection[] {
egin{frame}<beamer>
frametitle{Content}
	ableofcontents[currentsection]
end{frame}
}


section{The fundamental computing problem}

egin{frame}{The fundamental computing problem}{}

partitle{The query of High dimension data} \ vspace{1ex}

qquad  alert{Large-scale} and alert{high dimension data} attracts more and more attention.

vspace{2ex}

The specific application:

egin{itemize}        
    item Duplicate checking
    item Identifying similar images in a database
    item Identifying similar documentson the web
    item Image retrieval 
    item Music retrieval
    item Fingerprint matching 
end{itemize}         

vspace{1ex}



end{frame}


section{Related work(LSH)}

egin{frame}{Related work}{}

partitle{Locality-Sensitive Hashing, LSH} \ vspace{1ex}

qquad  LSH reduces the dimensionality of alert{high-dimensional data}. LSH hashes input items so that similar items map to the same “buckets” with high probability. footnote{Locality-Sensitive Hashing, LSH. Wikipedia}

vspace{2ex}


end{frame}

section{The fly algorithm }

egin{frame}{The fly algorithm}{based on the fly olfactory circuit}

partitle{The fly algorithm principle} \ vspace{1ex}

qquad  The fly circuit assigns
alert{similar neural activity patterns} to similar odors, so that behaviors learned from one odor can
be applied when a similar odor is experienced.

vspace{2ex}


end{frame}

section{Differences between Fly & LSH}

egin{frame}{Differences between Fly & LSH}{}

partitle{The fly algorithm principle} \ vspace{1ex}

egin{itemize}        
    item Sparse, binary random projections VS Dense,
    Gaussian random projections
    item Expands the dimensionality VS Reduces
    the dimensionality
    item The higher-dimensionality representation
    VS A dense representation.
end{itemize}        
vspace{2ex}


end{frame}



section{Result}

egin{frame}{Result&Conclusion}{}

partitle{Overall comparison between the fly algorithm and LSH.} \ vspace{1ex}

partitle{Conclussion: AI already has olfactory systems...}



end{frame}

egin{frame}{}{}
{centeringegin{center}
        f Huge  Thanks!
    end{center} }
end{frame}

end{document}

编译器的设置：

 下面是具体的一些小贴士和实现效果，持续更新中...

1.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

文字加入边框：（exampleblock）

egin{frame}
frametitle{Frame title}
egin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
end{block}
egin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
end{exampleblock}
egin{alertblock}{Conclusion}
    Simmons Hall $
ot=$ Simmons Dormitory.
end{alertblock}
end{frame}

效果

2.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

举例

egin{frame}
egin{enumerate}
    item haha
    
    	extbf{PGF}: dd
    
    	extbf{TikZ}: dd
    
    item dd： dd(dd、2-dd-dd)
    item dd：dd
end{enumerate}
end{frame}

效果

 

3.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

双栏

egin{frame}[t]{Main Title}{Subtitle}
egin{columns}
    egin{column}[T]{0.5	extwidth}
        includegraphics[width=	extwidth]{1}
    end{column}
    egin{column}[T]{0.5	extwidth}
        blah, blah, blah...
    end{column}
end{columns}
end{frame}