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
Rで有名絵画を安全に買いたい
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
saltcooky
September 16, 2022
Science
410
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Rで有名絵画を安全に買いたい
TokyoR #101 LT
saltcooky
September 16, 2022
More Decks by saltcooky
See All by saltcooky
SpatialRDDパッケージによる空間回帰不連続デザイン
saltcooky12
0
240
動的トリートメント・レジームを推定するDynTxRegimeパッケージ
saltcooky12
0
280
FIBA W杯の日本代表って組み合わせ次第で2次ラウンド行けたんじゃね?をデータで検証
saltcooky12
0
350
階層クラスタリングにおける仮説検定
saltcooky12
0
1.1k
データドリブンな仮説検証のためのSelective Inference
saltcooky12
1
1.5k
ストリートスナップデータに 統計的ネットワーク分析の適用を試みた
saltcooky12
0
890
Other Decks in Science
See All in Science
データベース06: SQL (3/3) 副問い合わせ
trycycle
PRO
1
970
データベース02: データベースの概念
trycycle
PRO
2
1.2k
Bリーグのショットデータを活用した得点期待値モデルの構築 / Construction of expected points model using shot data of B.LEAGUE
konakalab
0
140
NDCG is NOT All I Need
statditto
2
3.1k
機械学習 - pandas入門
trycycle
PRO
0
610
Distributional Regression
tackyas
0
530
Kritische evaluatie van GenAI-output voor literatuuronderzoek
voginip
0
160
Kaggle: NeurIPS - Open Polymer Prediction 2025 コンペ 反省会
calpis10000
0
580
データベース05: SQL(2/3) 結合質問
trycycle
PRO
0
1.2k
イロレーティングを活用した関東大学サッカーの定量的実力評価 / A quantitative performance evaluation of Kanto University Football Association using Elo rating
konakalab
0
270
Cross-Media Technologies, Information Science and Human-Information Interaction
signer
PRO
3
32k
やるべきときにMLをやる AIエージェント開発
fufufukakaka
2
1.5k
Featured
See All Featured
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.5k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
250
1.3M
Code Review Best Practice
trishagee
74
20k
How to Think Like a Performance Engineer
csswizardry
28
2.6k
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
71
40k
A Soul's Torment
seathinner
6
2.9k
Accessibility Awareness
sabderemane
1
130
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
300
Imperfection Machines: The Place of Print at Facebook
scottboms
270
14k
Why Our Code Smells
bkeepers
PRO
340
58k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.3k
Building an army of robots
kneath
306
46k
Transcript
3Ͱ༗໊ֆըΛ҆શʹങ͍͍ͨ !TBMUDPPLZ 5PLZP3 1
୭ʁ 2 !TBMUDPPLZ • 3ྺɿ͙Β͍͔ͳ • ۈઌɿຊʹ͋Δ*5ܥͷձࣾ • ࣄ༰ɿ3%తͳ෦ॺͰ
ɹɹɹ3Λͬͨσʔλੳ͞Μ ػցֶशͷॲཧ࡞ • झຯɿϑΝογϣϯඒज़ؗ८Γ
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 3 +BDLTPO1PMMPL நදݱओٛͷදతͳΞϝϦΧਓըՈ
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 4 υϩοϓϖΠϯςΟϯά
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 5 ʰ/P ʱ ºNN
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 6 ʰ/P ʱ ºNN ݄ ݱඒज़࠷ߴֹ ࣌ ԯສυϧ
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 7 ཉ͍͠ʂ
δϟΫιϯϙϩοΫΛ͍ͬͯ·͔͢ 8 ͚Ͳɺِଟͦ͏ʜ
ϙϩοΫͷֆըΛղੳͨ͠ݚڀ 9 • Fractal analysis of Pollock’s drip paintings.
(R.P.Taylor, et al , 1999) • On multifractal structure in non-representational art. (J.R.Nureika, et al , 2005) ˠϙϩοΫͷυϩοϓϖΠϯςΟϯάʹ ϑϥΫλϧߏ͕͋Δ͜ͱ͕Θ͔Δ
ϑϥΫλϧߏ 10 ਤܗͷҰ෦Λ֦େ͢Δͱɺશମͱ૬ࣅ͢Δܗ ࣗݾ૬ࣅੑ ͕ଘࡏ͢Δߏ FYγΣϧϐϯεΩʔͷΪϟεέοτ
ϑϥΫλϧ࣍ݩ ༰ྔ࣍ݩϋυϧϑ࣍ݩ 11 w ͲΕ͚ͩࣗݾ૬ࣅੑ͕͋Δ͔Λࣔ͢ྔ w ֤ۭؒํʹ-ʹॖΊΔͱɺͱͷਤܗΛຒΊΔʹ/-%ݸ ͷࣗݾ૬ࣅਤܗ͕ඞཁͱ͍͏͜ͱΛදݱ w
ʙͷؒΛͱΓɺʹ͍ۙ΄Ͳࣗݾ૬ؔੑ͕ڧ͍ w γΣϧϐϯεΩʔͷΪϟεέοτͷ࣍ݩ w ղੳతʹ#PY$PVOUJOHΞϧΰϦζϜʹΑΓਪఆ
#PY$PVOUJOHΞϧΰϦζϜ 12 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ̍ରը૾ΛҰลͷ͕͞-ͷϒϩοΫʹ͚Δ
#PY$PVOUJOHΞϧΰϦζϜ 13 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ̍ରը૾ΛҰลͷ͕͞-ͷϒϩοΫʹ͚Δ
#PY$PVOUJOHΞϧΰϦζϜ 14 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ̎ର͕өΓࠐΜͰ͍ΔϒϩοΫͷ/ - Λ͑Δ
#PY$PVOUJOHΞϧΰϦζϜ 15 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ϒϩοΫେ͖͞-Λখͯ͘͞͠ରը૾Λ͚Δ
#PY$PVOUJOHΞϧΰϦζϜ 16 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ର͕өΓࠐΜͰ͍ΔϒϩοΫͷ/ - Λ͑Δ
#PY$PVOUJOHΞϧΰϦζϜ 17 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ େ͖͞-Λখ͘͞͠ͳ͕Βର͕өΔϒϩοΫΛΧϯτ͢Δ ɹ͜ͱΛ܁Γฦ͢
#PY$PVOUJOHΞϧΰϦζϜ 18 ϑϥΫλϧ࣍ݩΛٻΊΔྲྀΕ ϒϩοΫͷେ͖͞-ͱΧϯτ/ - ͷ྆ରάϥϑʹ͓͚Δ ɹճؼઢͷ͖͕ϑϥΫλϧ࣍ݩʹͳΔ log N(L)
= D log(L) + K ʢ,ఆʣ MPH/ - MPH- ޯ%ʹ ϑϥΫλϧ࣍ݩ
19 w ͳͥ͜ΕͰϑϥΫλϧ࣍ݩΛਪఆ͢Δ͜ͱ͕Ͱ͖Δͷ͔ ఆ͔ٛΒͷมܗ log N(L) = log( a
L )D log N(L) = D log(L) + D log(a) #PY$PVOUJOHΞϧΰϦζϜ ʢBɿਖ਼ͷఆʣ
20 δϟΫιϯϙϩοΫͷ࡞ͷ߹ w -DNͰϑϥΫλϧ࣍ݩ͕มԽ w %% -Ҏ্ %- -ະຬ ʰ#MVF1PMFT/VNCFS
ʱ MPH - NN MPH / #PY$PVOUJOHΞϧΰϦζϜ
ϙϩοΫͷֆըͷಛ 21 ʢ̍ʣ̎छͷϑϥΫλϧύλʔϯ͔ΒΔ ʢ̎ʣ༷ʑͳεέʔϧʹ͓͍ͯϑϥΫλϧੑ͕ଘࡏ ʢ̏ʣϑϥΫλϧ࣍ݩରάϥϑͷޯ͔ΒٻΊΕΔ ʢ̐ʣ%-ʼ%% ʢ̑ʣۙࣅۂઢͷඪ४ภ͕ࠩখ͍͞ d ʢ̒ʣ֤৭ͷͰ্هͷ̑ͭͷಛΛຬͨ͢
3Ͱ#PY$PVOUJOH 22 7PY31BDLBHF
3Ͱ#PY$PVOUJOH 23 γΣϧϐϯεΩʔͷΪϟεέοτͷϑϥΫλϧ࣍ݩΛٻΊΔ ը૾ॲཧ
3Ͱ#PY$PVOUJOH 24 γΣϧϐϯεΩʔͷΪϟεέοτͷϑϥΫλϧ࣍ݩΛٻΊΔ ϑϥΫλϧ࣍ݩΛٻΊΔ
3Ͱ#PY$PVOUJOH 25 γΣϧϐϯεΩʔͷΪϟεέοτͷϑϥΫλϧ࣍ݩΛٻΊΔ ྆ରάϥϑͱճؼઢͷՄࢹԽ 0 2 4 6 8 -7
-6 -5 -4 -3 -2 log(1/res) log(N) Box Counting method : D=1.5747
؆୯ʹ·ͱΊ 26 w δϟΫιϯϙϩοΫͷֆըʹϑϥΫλϧߏ͕ଘࡏ͢Δ w ϑϥΫλϧߏͷϑϥΫλϧ࣍ݩΛղੳతʹٻΊΔͨΊʹ ɺ#PY$PVOUJOHΞϧΰϦζϜΛ༻͍Δ w
3Ͱ7PY3QBDLBHFͷCPY@DPVOUJOHؔͰ࣮ߦͰ͖Δ
&/% 27 &OKPZ
ࢀߟࢿྉ 28 •RʹΑΔը૾ॲཧɿimagerύοέʔδͷ͍ํ https://htsuda.net/archives/1985 •ϘοΫεΧϯτ๏ʹΑΔඐഀބͷϑϥΫλϧ࣍ݩ https://shiga-u.repo.nii.ac.jp/?action=repository_uri&item_id=1751