Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
SIGGRAPH2020勉強会 "Creative Fabrication"
Search
yamdeck
August 15, 2020
Research
1
65
SIGGRAPH2020勉強会 "Creative Fabrication"
yamdeck
August 15, 2020
Tweet
Share
More Decks by yamdeck
See All by yamdeck
SIGGRAPH Asia 2020 勉強会 "Computational Holography"
yamdeck
0
57
SIGGRAPH2020勉強会 "VR Hardware"
yamdeck
1
150
“HCI Research as Problem-Solving”(CHI’16) で学ぶ What is HCI Research ?
yamdeck
0
250
Other Decks in Research
See All in Research
20240725異文化融合研究セミナーiSeminar
tadook
0
150
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
eumesy
PRO
6
1.1k
SNLP2024:Planning Like Human: A Dual-process Framework for Dialogue Planning
yukizenimoto
1
310
多様かつ継続的に変化する環境に適応する情報システム/thesis-defense-presentation
monochromegane
1
470
クラウドソーシングによる学習データ作成と品質管理(セキュリティキャンプ2024全国大会D2講義資料)
takumi1001
0
240
論文紹介/Expectations over Unspoken Alternatives Predict Pragmatic Inferences
chemical_tree
1
250
Generative Predictive Model for Autonomous Driving 第61回 コンピュータビジョン勉強会@関東 (後編)
kentosasaki
0
190
第60回名古屋CV・PRMU勉強会:CVPR2024論文紹介(Vision Transformer)
waka_90b
1
200
TransformerによるBEV Perception
hf149
1
370
研究の進め方 ランダムネスとの付き合い方について
joisino
PRO
54
18k
LLM based AI Agents Overview -What, Why, How-
masatoto
2
570
尺度開発における質的研究アプローチ(自主企画シンポジウム7:認知行動療法における尺度開発のこれから)
litalicolab
0
320
Featured
See All Featured
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
27
1.9k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
41
2.1k
What's new in Ruby 2.0
geeforr
342
31k
Documentation Writing (for coders)
carmenintech
65
4.4k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
How STYLIGHT went responsive
nonsquared
95
5.2k
Into the Great Unknown - MozCon
thekraken
31
1.5k
Faster Mobile Websites
deanohume
304
30k
Agile that works and the tools we love
rasmusluckow
327
21k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
246
1.3M
Learning to Love Humans: Emotional Interface Design
aarron
272
40k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
42
9.2k
Transcript
$SFBUJWF'BCSJDBUJPO
2 1BQFS*OGPSNBUJPO $PNQVUBUJPOBM*NBHF.BSLJOHPO.FUBMTWJB-BTFS *OEVDFE)FBUJOH 4FCBTUJBO$VDFSDB 1JPUS%JEZL )BOT1FUFS4FJEFM 7BIJE#BCBFJ .BY1MBODL*OTUJUVUFGPS*OGPSNBUJDT (FSNBOZ
6JWFSTJUBEFMMB4WJ[[FSBJUBMJBOB 4XJU[FSMBOE
3 • νλϯεςϯϨεͱ͍ͬͨۚଐͷද໘ʹࢎԽൽບΛ࡞Γɼޫͷׯবʹ Αͬͯൃ৭ͤ͞ΔʮϨʔβʔΧϥʔϚʔΩϯάʯͱݺΕΔٕज़͕͋Δ • ՃػϨʔβʔڧͳͲෳͷࣗ༝Λ࣋ͪɼௐઅ؆୯Ͱͳ͍ ʢΧϥϑϧ͔ͭߴղ૾ͳྑ͍݁ՌΛಘΒΕΔΑ͏ʹ͢Δͷͳ͓ͷ͜ͱ େมʣ ˣ •
ຊจͰɼܭଌϕʔε͔ͭσʔλυϦϒϯͰ࠷దԽͨ͠$PMPS*NBHF 3FQSPEVDUJPO8PSLGMPXΛߏஙͨ͠ • ΠϯΫδΣοτϓϦϯλʔͷΧϥʔΩϟϦϒϨʔγϣϯͷΑ͏ͳϫʔ ΫϑϩʔͰͰ͖ΔΑ͏ʹ͢Δ *OUSPEVDUJPO ϨʔβʔΧϥʔϚʔΩϯά ϨʔβʔΧϥʔϚʔΩϯάͷྫ ൃ৭ͷݪཧ
4 • ৭Λ࠶ݱ͢Δػࡐʹ͓͍ͯɼ৭ҬΛܾఆ͢Δ͜ͱෆՄܽʢΧϥʔϓϦϯλʔ৭Ҭ͕͋Δʣ • Ұํɼ৭ҬͷΈΛ༏ઌ͢Δ͋·Γɼղ૾͕ࣦΘΕͯࠔΔʢFY࠼ߴ͍͕ϐον͕ૈ͗͢Δʣ • ΑͬͯɼҎԼ̑ͭͷج४Λຬͨ͢Α͏ͳ৭Ҭͷ࠷దԽʢଟత࠷దԽʣ͕ඞཁ • $ISPNBUJDJUZ๛͔ͳ৭࠼Λ࣮ݱ •
)VFTQSFBE৭ΛภΒͳ͍Α͏ʹ • 3FTPMVUJPOղ૾ • 1FSGPSNBODFTQBDFEJWFSTJUZ • %FTJHOTQBDFEJWFSTJUZ • ྫ͑ҹػͰύονΛҹͯ͠ܭଌ͠ɼҹػͷ৭Ҭʹ߹Θͤͨ-65Λ࡞͢Δ 1SPQPTFE.FUIPE (BNVU&YQMPSBUJPOʢ৭Ҭ୳ࡧʣ .$.0(" .POUF$BSMP.VMUJPCKFDUJWF(FOFUJD"MHPSJUIN ͷ̍ΠςϨʔγϣϯ
5 • ৭Ҭ͕ܾఆ͞ΕΕɼޙී௨ͷϓϦϯλʔͱಉ༷ͷॲཧͱ ͳ͍ͬͯ͘ • (BNVU.BQQJOH৭Ҭʹ߹Θͤͯը૾Λ৭ม • $PMPS4FQFSBUJPOج४৭ 3(#ϓϦϯλʔͳΒ3 (
# ʹׂ • )BMGUPOJOHϋʔϑτʔϯҹͱಉ͡Α͏ʹೱΛ࠶ݱ • 7FDUPSJ[BUJPOϨʔβʔϚʔΩϯά࣌ઢඳըͳͷͰϥ Πϯঢ়ʹ 1SPQPTFE.FUIPE *NBHF3FQSPEVDUJPO $PMPS3FQSPEVDUJPO8PSLGMPX
6 • ϨʔβʔϚʔΩϯάӈͷࣸਅͷΑ͏ͳηοτΞοϓΛ४උ࣮ͯ͠ߦ • Ճʹ͓͍ͯ̓ͭͷύϥϝʔλʔΛར༻ • 'SFRVFODZ܁Γฦ͠प • 1PXFSڧ •
1VMTFXJEUIύϧε෯ • 4QFFEՃ෦ͷҠಈ FYNNT • -JOFDPVOUDMVTUFSͷϥΠϯ • )BUDIJOHDMVTUFSͷϥΠϯؒͷڑ • 1BTTDPVOUԿճಉҰՕॴͷϥΠϯΛඳը͢Δ͔ &YQFSJNFOU "CPVU-BTFS
7 • ࠨJOQVUJNBHF • தԝ(BNVU.BQQJOH ޙͷը૾ • ӈϨʔβʔϚʔΩϯά ʹΑΔඳը݁Ռ 3FTVMU
݁Ռ
8 1BQFS*OGPSNBUJPO $PNQVUBUJPOBM1BSRVFUSZ'BCSJDBUFE4UZMF5SBOTGFSXJUI 8PPE1JYFMT +VMJBO*TFSJOHIBVTFO .JDIBFM8FJONBOO 8FJ[IFO)VBOH .BUUIJBT#)VMMJO 6OJWFSTJUZPG#POO (FSNBOZ
9 • 1BSRVFUSZ ύʔέοτϦʔ ͱݺΕΔΛ׆༻ͨ͠දݱ͕͋Δ • ը૾Λೖྗͱ͠ɼ1BSRVFUSZʹΑΔ࠶ݱ GBCSJDBUJPO Λߦ͏ϫʔΫϑ ϩʔͷ࣮ݱ͓ΑͼۙࣅΞϧΰϦζϜͷఏҊΛߦͬͨ
.PUJWBUJPO ຊจͷϞνϕʔγϣϯͱͬͨ͜ͱ 1BSRVFUSZʹΑΔϙʔτϨʔτ࡞ͷྫ 1BSRVFUSZͷྫ
10 • ࡞ϓϩηεҎԼͷ௨Γ • ࡐΛ༻ҙ͠ɼεΩϟχϯάͯ͠ςΫενϟը૾Λ༻ҙ • λʔήοτΠϝʔδͱ߹ΘͤͯɼΈ߹ΘͤʢΧοτύλʔϯͱஔʣΛܭࢉ • ࣮ࡍʹࡐΛΧοτ͠ɼΈ߹Θͤɼݻఆ͢Δͱ 1SPQPTFE.FUIPE
'BCSJDBUJPO1SPDFTT 1SPQPTFE&OEUP&OE1SPDFTT
11 • ̎छྨͷϑΟϧλʔʢڧϑΟϧλʔɾκʔϕϧϑΟϧλʔʣΛը૾ʹରͯ͠ద༻͠ɼಛྔΛநग़ • • λʔήοτը૾ͱςΫενϟ ࡐ ͕େ͖͘ҟͳΔ৭ҬϑΟϧλʔԠΛ࣋ͪ͏ΔͷͰɼώετάϥϜϚονϯάΛ ద༻
$%'CBTFEIJTUPHSBNFRVBMJ[BUJPO • ͨͩ͠ɼ࣮ࡍʹద༻ͯ͠ΈΔͱద༻͕աͰ͋ͬͨͨΊɼݩͷλʔήοτڧͱద༻ޙͷڧΛิؒͨ͠ • • *5λʔήοτը૾ɼ*4ιʔεςΫενϟ F(I) = (wintens ∙ Fintens (I), wedge ∙ Fedge (I)) T F′ intens (IT ) = (1 − whist )Fintens (IT ) + whist Fequalize (It , IS ) 1SPQPTFE.FUIPE 'FBUVSF&YUSBDUJPO MFGUݩը૾ NJEEMFMFGUڧϑΟϧλͷΈ NJEEMFSJHIUิؒ SJHIUώετάϥϜϚονϯά
12 • λʔήοτը૾Λλʔήοτύονʹׂ͠ɼλʔήοτύονͱׂΓͯΔιʔεύονͷಛྔͷ͕ࠩখ͘͞ͳΔ Α͏ʹɼιʔεύονΛܾఆ͍͖ͯ͠·͢ • • 15λʔήοτύονɼ14ιʔεύον •
ͳ͓ɼλʔήοτը૾ͷύονͷॱ൪TBMJFODZTDPSF͔த৺͔Βͷڑʹґଘͯ͠ιʔτ͢Δ Di,j (x) = np ∑ k=1 (F(PT (pk )) − F(IS,i,ϕj (x + pk ))) 2 PS = arg mini,j,x Di,j (x) 1SPQPTFE.FUIPE $VUQBUUFSOPQUJNJ[BUJPO ࠨTBMJFODZTDPSF ӈத৺͔Βͷڑ
13 • ̎ͭͷΞϧΰϦζϜ͕ఏҊ͞Ε͍ͯΔ • PQUJPOBMͱͳ͍ͬͯͨͷͰຊൃදͰলུ 1SPQPTFE.FUIPE 1BUDITIBQFPQUJNJ[BUJPO 4IBQFPQUJNJ[BUJPOͷ̍ྫ
14 3FTVMUT ݁Ռ
15 1BQFS*OGPSNBUJPO 3PCP$VU)PUXJSF$VUUJOHXJUI3PCPUDPOUSPMMFE'MFYJCMF 3PET 4JNPO%VFOTFS 3PJ1PSBOOF #FSOIBSE5IPNBT[FXTLJ 4UFMJBO$PSPT
&5);VSJDI 6OJWFSTJUZPG)BJGB 6OJWFSTJUFEF.POUSFBM
16 • σϡΞϧϩϘοτΞʔϜΛ༻͍ ͯɼϗοτϫΠϠʔΧοτʹΑ ΔGBCSJDBUJPOख๏ͷఏҊ • ࣮ݱʹओʹ̏ͭͷλεΫͷ࣮ ߦ͕ඞཁ • ϩϘοτΞʔϜͷಈ͖ʹ
͏ܗঢ়ͷมԽ • λʔήοτܗঢ়ʹͳΔΑ ͏ͳαʔϑΣεۙࣅ • ϫΠϠʔΧοτΛߦ͏্ Ͱͷύεܗ 0WFSWJFX ຊจͷશମ૾
17 • ϩϘοτΞʔϜͷ֯RͱͦΕʹΑܾͬͯ·ΔϫΠϠʔܗঢ় ࠲ඪ YΛλʔ ήοτܗঢ়͔ΒٻΊ͍ͯ͘ • 6Lλʔήοτܗঢ়ͷ·ͩΧοτ͞Ε͍ͯͳ͍෦ͷ࠲ඪͰɼ6LʹରԠ͢ ΔY࠲ඪΛܾఆ͍ͯ͘͠ 1SPQPTFE.FUIPE
ϫΠϠʔܗঢ়ͷܾΊํ ಈ࡞ڥͱؔ࿈ύϥϝʔλ ϫΠϠʔܗঢ়ͷܾΊํ
18 • ϫΠϠʔܗঢ়ɾಈ࡞ͷ࠷దԽΛ ߦ͍ͬͯΔ • ͳ͓ɼ࠷దԽΛߦ͏্Ͱ࠷ॳ ʹϥϑͳύε͕ඞཁͱͳΔ͕ɼ ͜ͷύεϢʔβʔʹॻ͔ͤͯ ྑ͍͠ɼશࣗಈԽͰߦ͏͜ ͱͰ͖Δ
1SPQPTFE.FUIPE ϫΠϠʔಈ࡞ͷ࠷దԽ
19 • ܗͷΓग़͠Λͨ͠ΓɼΧοτͨ͠ͷ͔ΒͷΈཱͯͰ͖Δ 3FTVMUT 'BCSJDBUJPO3FTVMUT ݁Ռ