Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
おちんぎんで見るプロ野球
Search
hiro.i2
November 02, 2019
Research
2.9k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
おちんぎんで見るプロ野球
hiro.i2
November 02, 2019
Other Decks in Research
See All in Research
Cross-Media Human-Information Interaction
signer
PRO
0
280
Sleuthcon Keynote - How Cybercriminals (ab)use AI
fr0gger
0
390
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
250
COMETAを用いたデータ民主化運動の歴史
sazimai
0
280
The Conductor Pattern -Multi-Granularity Feedback for Creative Agents-
shibuiwilliam
2
110
A new deal for disabled people
resolutionfoundation
0
260
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
270
進化?迷走?CasualConc ファミリーアプリの現在地 @ 英語コーパス学会 2026
casualconc
0
150
論文読み会 SNLP2026 Tau2-Bench: Evaluating Conversational Agents in a Dual-Control Environment
s_mizuki_nlp
0
300
学術バーQ AI研究最前線:自己教師あり学習による画像モデルの事前学習
naok615
0
170
[webinaire du Ciirpo] Agnelages plein air : des éleveurs partagent leurs pratiques
institutdelelevage
PRO
0
210
Hitting the buffers
beale
0
280
Featured
See All Featured
Into the Great Unknown - MozCon
thekraken
41
2.8k
Test your architecture with Archunit
thirion
2
2.4k
Mind Mapping
helmedeiros
1
400
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
28
3.7k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
1k
The Spectacular Lies of Maps
axbom
PRO
1
1.1k
A Soul's Torment
seathinner
8
3.8k
Mobile First: as difficult as doing things right
swwweet
225
10k
Build your cross-platform service in a week with App Engine
jlugia
234
19k
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
12k
Building AI with AI
inesmontani
PRO
1
1.3k
Raft: Consensus for Rubyists
vanstee
142
7.8k
Transcript
͓ͪΜ͗Μ ͰݟΔϓϩٿ 4QPSUT"OBMZTU.FFUVQ IJSPJʢ!ZPVKP@%4ʣ
ࣗݾհ ‣ ໊લ ▸▸ ઘԬྱཧ / Hiromichi Izuoka ▸ ܦྺ
▸▸ ݐઃίϯαϧλϯτˠࣗܯඋһˠ ɹɹ ϑϩϯτΤϯδχΞˠσʔλαΠΤϯςΟετ ▸ උߟ ▸▸ ٿ͖ ▸▸ ΦϦοΫεϑΝϯ ▸▸ ߴߍٿ͖ʢஐֶԂग़ʣ ▸▸ Kaggle͕͖ʢۜ̍͜ʣ @youjo_DS
Έͳ͞Μʹͭ͠ΜͰ͢ʂ
͜Μͳ͜ͱ͓ͬͨ͜ͱ͋Γ·ͤΜ͔ʁ ͏Θɺࢲͷऩ͗͢…ʁ ※ࢲ͠ΐͬͪΎ͏͋Γ·͢
ϓϩٿબखࢥ͍ͬͯΔʢൈਮʣ ‣ ʮҙݴ༿Ͱͳ͘ɺֹۚʯ ‣ ʮ৴͡ΒΕΜɻࢮͷ͏͔ͱࢥͬͨɻʯ ‣ ʮ͕ࣗࢥ͍ͬͯΔͷͱ͕ࠩ͋ͬͨɻʯ ‣ ʮ͓͔͍͠…͜Μͳ͜ͱڐ͞Εͳ͍…ʯ ‣
ʮAٿஂ͔ΒҙΛײ͡ΒΕͳ͔ͬͨɻʯ ‣ ʮ͜ΕͳΒ༏উ૪͍͠ͳ͚ΕΑ͔ͬͨͱࢥͬͯ͠·͏ɻʯ ‣ ʮܞଳిձࣾͱҰॹͰ͢Αɻ৽نՃೖͷਓʹ༏ͯ͘͠طଘͷਓʹͦͷ··ɻʯ
ࠓͷϞνϕʔγϣϯ ͠ϓϩٿ͕ ೳྗʹԠͯ͡ څྉ͕ࢧΘΕΔੈքͳΒɺ બखͬͱͤʹͳΕΔͣ
ͳʹΛ͠Βͨͷʁ ‣ 2018ͷʹج͍ͮͨࠓγʔζϯͷเ ‣ เͷ ‣ เͱͷؔ ‣ ͍͔͍ͤ͞͠ ‣
·ͱΊ
ͳʹΛ͠Βͨͷʁ ‣ 2018ͷʹج͍ͮͨࠓγʔζϯͷเ ‣ เͷ ‣ เͱͷؔ ‣ ͍͔͍ͤ͞͠ ‣
·ͱΊ
2019 เͷώετάϥϜ ੁख
2019 เͷώετάϥϜ ੁख গ͠ࢁ͕Ͱ͖Δ
2019 เͷώετάϥϜʢٿஂผʣ
2019 เͷώετάϥϜʢٿஂผʣ ࢁ͕Ͱ͖ͳ͍νʔϜ ࠷ߴเ̎ԯԁʂ มͳܗ
ͳʹΛ͠Βͨͷʁ ‣ 2018ͷʹج͍ͮͨࠓγʔζϯͷเ ‣ เͷ ‣ เͱͷؔ ‣ ͍͔͍ͤ͞͠ ‣
·ͱΊ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ શٿஂ ٿஂผ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ XR: ɹ0.50×୯ଧ ʴ0.72×ೋྥଧ ʴ1.04×ࡾྥଧ ʴ1.44×ຊྥଧ ʴ0.34×ʢ࢛ٿʴࢮٿʵܟԕ࢛ٿʣ ʴ0.25×ܟԕ࢛ٿ ʴ0.18×౪ྥ ʴ0.37×٘ඈ
ʴ0.04×٘ଧ ʵ0.32×౪ྥࢮ ʵ0.090×ʢଧʵ҆ଧʵࡾৼʣ ʵ0.098×ࡾৼ ʵ0.37×ซࡴଧ ಘྗ Λද͢ࢦඪ શٿஂ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ શٿஂ ٿஂผ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ ‣ ࡕਆͱ͋·ΓධՁ ʹؔͳͦ͞͏ͳࢦඪ͕ ૬ؔߴ͘ग़͍ͯΔ ٿஂผ ɺྸ ɺମॏ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ ‣ ϠΫϧτଞٿஂͱൺֱ ͯ͠XR͕เͱͷ૬͕ؔ ߴ͍ʢ12ٿஂτοϓͷ 0.92ʣ ٿஂผ
ଧͱเ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ શٿஂ ٿஂผ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ KDʢখদࣜυωʔγϣϯʣ: ɹʢٿճ×3ʣ ʴʢউརʴϗʔϧυʴηʔϒʣ×10 ※ খদࣜυωʔγϣϯʹ͍ͭͯ͠ग़͢ͱ͘ͳΔͷ Ͱઆ໌ׂѪ͠·͢ɻ શٿஂ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ ‣ ׂʹΑ͕ͬͯҟͳΔɻ ‣ XR ಉ༷ʹɺखݸਓͷޚྗউརͷߩݙΛ ද͢ࢦඪΛՃͯ͋͛͠Δͱ໘നͦ͏ɻ ‣ FIP͕ͦΕʹ͍͕ۙܭࢉࣜͷதʹޚؚ͕·Ε ͍ͯͨΓɺ࠷ऴతʹΠχϯάͰঃࢉ͍ͯ͠Δ͜
ͱ͔Β͋·Γ૬͕ؔग़ͳ͔ͬͨՄೳੑ͕͋Δɻ KDʢখদࣜυωʔγϣϯʣ: ɹʢٿճ×3ʣ ʴʢউརʴϗʔϧυʴηʔϒʣ×10 શٿஂ
เͱ૬ؔͷߴ͍ࢦඪʁʢखฤʣ ‣ DeNA͕QSɺHQSͷ ࢦඪͦͷଞউརʹؔΘ Δࢦඪͱเͱͷ૬͕ؔ ߴ͍ڵຯਂ͍ ٿஂผ
খদࣜυωʔγϣϯͱเ
ͳʹΛ͠Βͨͷʁ ‣ 2018ͷʹج͍ͮͨࠓγʔζϯͷเ ‣ เͷ ‣ เͱͷؔ ‣ ͍͔͍ͤ͞͠ ‣
·ͱΊ
ଧͱเ
ଧͱเ ༗גκʔϯ ͳʹαϘͬͯΜͶΜ ٿքද
͍͞͠ੈք ༗גκʔϯ ͳʹαϘͬͯΜͶΜ ٿքද
ͳʹΛ͠Βͨͷʁ ‣ 2018ͷʹج͍ͮͨࠓγʔζϯͷเ ‣ เͷ ‣ เͱͷؔ ‣ ͍͔͍ͤ͞͠ ‣
·ͱΊ
·ͱΊ ‣ ̍ԯԁલޙͰͷࢁ͕গ͠Ͱ͖Δ ‣ ٿஂʹΑͬͯเͷࢉग़ʹಛ৭͕ग़Δ ‣ खׂͷ֞ࠜΛͳ͘͢ࢦඪΛ୳͍ͨ͠ ‣ ͏ͪΐͬͱΒͬͯྑͦ͞͏ͳબख͕··͍Δ ‣
αϘͬͯΔ͕͍ͭΔ ‣ ػցֶशͰ༧ଌͯ͠ΈΔͱ͓͠Ζͦ͏ʢFuture Workʣ
เΛ༧ଌ͢Δͱ… ‣ ٿஂαΠυ ▸▸ ແବͳ͓ͪΜ͗ΜΛΘͳͯ͘ྑ͘ͳΔ ‣ બखαΠυ ▸▸ ʮ͋ͷٿஂͳΒ͜Ε͘Β͍ग़͢ʯͱમಆͷ೩ྉʹͳΔ
APPENDIX
ࢮ͵΄Ͳࡶͳࢦඪղઆʢଧऀฤʣ ུশ ຊޠ໊ "WH ଧ ( ࢼ߹ 1" ଧ੮ "#
ଧ 3 ಘ ) ҆ଧ *') ҆ଧ *') ҆ଧ # ೋྥଧ # ࡾྥଧ )3 ຊྥଧ 5# ྥଧ 3#* ଧ 40 ࡾৼ ## ࢛ٿ *## ܟԕ )#1 ࢮٿ 4"$ ٘ଧ 4' ٘ඈ 4# ౪ྥ $4 ౪ྥࢮ 4# ౪ྥޭ & Τϥʔग़ྥ 1# ัҳ %1 ซࡴଧ ུশ ຊޠ໊ આ໌ 341 ಘݍଧ 0#1 ग़ྥ 4-( ଧ 014 ଧ /0* 0#1 4-( (1" 0#1 4-( 3$ ಘೳྗධՁࢦඪ 3$ ಘೳྗධՁࢦඪ 93 ಘೳྗධՁࢦඪ 93 ಘೳྗධՁࢦඪ 3$"" ಘೳྗධՁࢦඪ 93 ಘೳྗධՁࢦඪ 3$8*/ ಘೳྗධՁࢦඪ 938*/ ಘೳྗධՁࢦඪ #"#*1 ΠϯϑΟʔϧυଧ ##, ࢛ٿ×ࡾৼ *TP% ग़ྥೳྗධՁࢦඪ 1"## ଧ੮×࢛ٿ 1", ଧ੮×ࡾৼ *TP1 ଧྗධՁࢦඪ "#)3 ຊྥଧ 4FD" ଧྗධՁࢦඪ 5" ྥΛՔ͙ೳྗ 14 ύϫʔͱεϐʔυ
ࢮ͵΄Ͳࡶͳࢦඪղઆʢखฤʣ ུশ ຊޠ໊ &3" ޚ ( ࢼ߹ 4UBSUFS ઌൃొ൘ 3FMJFG
ٹԉొ൘ $1JUDI ࿈ 8 উར - ઢ )-% ϗʔϧυ 4 ηʔϒ )1 ϗʔϧυϙΠϯτ 41 ηʔϒϙΠϯτ 38 ٹԉউར 3- ٹԉઢ $( 4)0 ෧ OP## ແ࢛ٿࢼ߹ 81$5 উ *1 Πχϯά 5#' ରઓଧऀ /1 ٿ 1@*1 ٿʢ̍Πχϯάʣ ) ඃ҆ଧ )3 ඃຊྥଧ 40 ࡾৼ ## ༩࢛ٿ *## ܟԕ )# ༩ࢮٿ ུশ ຊޠ໊ આ໌ 81 #, ϘʔΫ 3 ࣦ &3 ࣗ 8)*1 24 ̒ճࣦ̏ୡ )24 ̒ճࣦ̎ୡ 424 ̓ճࣦ̏ୡ "WH ඃଧ #"#*1 ΠϯϑΟʔϧυඃଧ 0#1 ඃग़ྥ 4-( ඃଧ ,@## ࡾৼ×࢛ٿ ,@ ̕Πχϯά͋ͨΓͷࡾৼ ##@ ̕Πχϯά͋ͨΓͷ࢛ٿ )3@ ̕Πχϯά͋ͨΓͷඃຊྥଧ (0@"0 ΰϩΞτ×ϑϥΠΞτ 34/ ԉޢ *13 ٹԉٿճ×ٹԉࣦ /)# ٹԉແ҆ଧແ࢛ٿ '*1 खͷӨڹΛഉআͨ͠ࢦඪ -0# ྥ 34"" Ϧʔάͷฏۉతͳखͱൺֱͯ͠ 34""ͲͷఔࣦΛ૿ݮ͔ͤͨ͞ 348*/ԿউͨΒ͔ͨ͠ 13ͲͷఔࣗΛ૿ݮ͔ͤͨ͞ 348*/ 13 ,% খদࣜυωʔγϣϯ
͝ਗ਼ௌ ͋Γ͕ͱ͏͍͟͝·ͨ͠