%PDF-1.3
%
149 0 obj
<>/OCGs[152 0 R]>>/OutputIntents[146 0 R]/PageLabels 144 0 R/Pages 21 0 R/Type/Catalog>>
endobj
151 0 obj
<>/Font<>>>/Fields 156 0 R>>
endobj
148 0 obj
<>stream
2016-01-23T19:17:58-08:00
TeX
2016-01-31T20:17:25-08:00
2016-01-31T20:17:25-08:00
This is pdfTeX, Version 3.14159265-2.6-1.40.16 (TeX Live 2015) kpathsea version 6.2.1
PDF/X-1a:2001
PDF/X-1:2001
Acrobat Distiller 15.0 (Macintosh)
False
Technical Papers: Machine Learning Applications
PDF/X-1a:2001
PDF/X-1:2001
application/pdf
Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors
Copyright(C) 2016, Association for the Advancement of Artificial Intelligence
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
Technical Papers: Machine Learning Applications
True
http://www.aaai.org
uuid:17204b5c-e394-1c43-a033-1be5e3e48ddd
uuid:360e6009-ebd5-ec48-99e9-c5cd8b7e89ec
1
PDF/X-1:2001
endstream
endobj
144 0 obj
<>
endobj
21 0 obj
<>
endobj
2 0 obj
<>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
22 0 obj
<>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
29 0 obj
<>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
36 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
41 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
45 0 obj
<>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
53 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
175 0 obj
<>stream
HWIwW"vNZ˼Lr 1 Z| !Qrl?P]Tu_PG~:yf!w䏉
|r'ai0UrN()C
rq(TR,o'i(b#
fպbS,f6M^;eXF9.)q$lIMeZQ"\vI糹2 KG#)ԾZ[w鬧=dl2TNî{"
#+Bq@ħ@pƵsS~ƀNHGbuts
|4rSOKz:AAS0tz4#hSb T(-~ c\?Q
wl1]#"a3_dUw
\^}Cyh6*X.0:A7nE2ݙ'(,GaKim8
vi[+UUGBz/@)v
DemU
Бy)v,S:&/d :1TfTχ)4a
]ﱊ>O
q*iKEݔ\<*8%&i;UBe^}ˬz0cԻF`
lZk;ݦ^.=mrf˩Q!.}We]gB\J%>9&i "XU[ay9q&첦k_ n+ru1nH'owVZ~!ZICE,6elM
lpa\w\ڛĠ%2MDoA7YRo4xZ
]mVƸv(8-6[cꗾ藚K@6i!VE-3f*_eۛ~]>DK?%"LX_dY"ԼvJ%FW.Lfs)HіWvq3Mt5x̾);knӕ_yjf1z;X
44#kCB]hj4z_E]_`uVZ5&'c.6Twk~}Kca/47GC,́][TE jzhi&ڈ#'cm#>V9A⑾p'TX=6
Mz16!1Vй8X)Dtw
ògffdTMlKB3RSa6s=v; cNU(5j1UQu_;2nyCF]P!ÈIR}U!] uUPadun߳̄uQۓZR|T@=Z-j?UX=]yDGH2NO-wN+gB)988)_ufnڎ 4_)ni{`\M4%傳ju*_2?d!(PܑJ9 ][itU
Yk&2F#43K<"7BmZǮ0^!#* pUfmˤ/Wu5d{b+A&9v_ r^`):ڇ@|>Þ]Pv9cƽ%;GGY$mjdp32GӼ,
ٟs> -x}ڃ-Bw5U'̺3?tow u_wO"E"RrJT>bOWt_-""W+FɃMcOݮnW>U,4&^ !59Z_.]dkj!:TB3mNT?:a|x}x+n#!4JgSDp`QLb#ahB:3 0 ӷ&>Nbu6zmvt*_D5yn,@і/EuXywjfUp9Dj('}jҕh1:CUCciyy^+VZCEٹs*)]r!չZ'!q
-ϰ@Ε0Q~nr4JpfHsllj&ܛa_pkrPA5jb8h?eSSZ,kacm%e"IeN'G7($=_vf$˵b+|7AèBŗE?}@Xn\*RꑉBpJ1XkQ
B6DZqx5H"uϲJR9#{:?gRJ9+p%Y}oD+*ɕ~VZEjnYײ4wϓly8<'kfp0" -qt"uٵ0?sQY,b}gfVn$+2_tӥً<@lVپ28, ]/lZӿtUo=Nw첕zly{\ܤM3ðC{-'?rUpϑ#9z}EF$UY$F4JD١g9d P:b9S\u2ű8MYD7M$x4'[]_9ST3Dt۳fX8T8lbGjv6~d8y^/Y C_֟*oiy]F'zG7XnY|BGOtvr jY-Sb+J_2ySJV >vh=smG$K*)O(=k.ԖgNK-js^
̰S*Wʓ?܁3WFLx P,"A`j-ѥ&mK
t5+z0hv2яj?:]rCfuճ&w݉kW
afRGJN%vWExco͚_vB'ۿ\_ĐLU,/
X(:z'A BԐV~ި:(LL