#Helly Lewis

[a-titty-ninja]

[rangertycho]

ボルチモアとのパーソナルトレーニングにまた遅れましたね

[gachagachaart]

[maxverstepponme]

i have few takes on miss helly.

1. i have these feelings that for whatever reasons she will go after lando when max break up with her. we all know that she has approached several f1 drivers before getting with max and i have gut feelings that things were almost happened with lando but then max looks more promising. and in 2020, lando is quite young to get into relationship with a woman like her. she's trying to avoid being talk of the town. BUT I MIGHT BE WRONG THO LOL U KNOW UNLESS SHE WANTS TO TRY GETTING TOGETHER WITH LEWIS HAMILTON AGAIN LMAOOO

2. max will break up with her this year. i will give it until summer break. and max will not make a big deal out of it. just like how he broke up with dilara in early 2020 and all of us knew about it in july/august 2020 because he casually mentioned in an interview that he's currently single.

anyway, would love to hear everyone's thoughts now miss helly seems to be out of control.

I don’t think she’ll go for Lando anymore though. Simply because I don’t think Lando will get with her after dating one of his best friends.

[very-uncorrect]

Hi I saw your six characters for fanart post and i dont really know how this works but I’ll give you a list of six and do with it what you wish☺️

1. Max (stranger things)

2. Darcy Lewis (marvel)

3. Wednesday (Wednesday)

4. Helly (severance)

5. Clare (Derry girls)

6. Rosie Betzler (Jojo rabbit)

I didn’t do any from books for obvious reasons but yeah! I hope this is ok and I’m sure whatever characters you do you will nail them👍

Thanks!

[ahb-writes]

Medieval Nicknames, Pet Names & Diminutives — Male

Adam: Adnet, Adenot, Adkin, Ade, Add

Aloysius: Lowis, Lewis, Lewin, Louis

Amyas: Amyot, Amand, Amadis (Fr)

Ancel: Ansel(l), Anselm, Ancelot, Anscelin, Hanselin, Anselin

Andrew: Dandy, Tandy, Dancock

Anketil: Antel, Anker, Antin, Aske Asketil, Askil, Annakin(Yo), Asti

Arnold: Arnaud, Arnot, Arnel

Auberon/Aubrey: Oberon, Avery, Avo, Aves, Auvery, Aubert, Albray, Albert

Bartholomew: Bart, Ba(t)te, Barty (Scots), Batty, Batkin, Bette, Bartelot, Bertelot, Bertelmew

Christopher: Stoffer, Kit(te), Kester, Kitelin, Christal (Scots)

Denis: Dionysus, Den(et), Denzil, Denisel

Egidius: Aegidius, Giles,Gille, Gillard, Gilo, Gisel

Elias: Ellis, Elcock, Helle, Eliot, Elwaud (Scots), Elwat, Eluat, Eluolt, Elkin, Helyas, Hellis, Elyet, Allat, Alard Adalard, Elicoc, Hellcock, Elie

Geoffrey: Jeppe, Geff, Gepp, Jeeves, Jeff, Jefcock, Jeffkin, Jeffrey

Gerald/Gerard: Girard, Garard, Garrald, Garrood, Jarrold, Jarrot, Jerald, Greoud, Jared

Gilbert: Gibb, Gibelin, Gibelot, Gip

Hamo: Hamlet, Hamlin, Hammet, Hamnet, Hamon(d), Haim(o), Hame, Hamon, Aymes, Hamekin, Hawkin

Henry: Hal, Harry, Herry, Hanne, Hen(kin), Hanekin, Halkin, Hawkin

Hilary: Ilarius, Illore, Eularius, Eylarius, Ellery, Hille

Hugh: Hugo, Huiet, Hughelot, Ugo ,Hugelin, Huelin, Hulin, Hudde, Huglin, Hudkin, Hukin, Howe, Hewe, Huget, Hudelin, Huhel, Huwet, Huchon (Fr)

James: Jago, Jacob(i), Jacce, Jack(lin), Jagge, Jakot, Jackett, Jackamin, Jex, Jem(me), Gimelot, Jimme, Jaycock, Jakock, Jankin, Jaques, Cob(et), Jakemin

Joel: Juhel, Jool, Jol, Johol, Joelin, Joylin, jollein

John: Jack, Jankin, Jenkin, Jan(cock), Hank (Flem), Henk(e), Henkin, Hann, Jonet, Jehan, Janin, Janne, Jenin, Hancock

Joscelin/Goscelin: Josse, Joyce, Josset, Gotselin, Gotsone, Jukel, Judoc, Joy, Joshin, Joce, Goss, Got(te), Goslin

Lawrence/Laurence: Larry, Lorenz, Larkin, Lorkin, Laret, Lawrie, Lowrie, Low, Laur

Leonard: Leo, Lyel, Leon, Leunot, Leonides, Lionel, Leoline

Luke: Lucius, Lucian,Ludovic, Luck Lucas, Luket

Matthew: Mayhew, Makin, Masse, Math(e), Mathy, Matkin, Maton

Michael: Mihel, Michel, Miot, Mighell, Miche, Miell, Miles, Milo

Nicholas/Colin: Colcock, Cole, Coll, Colkin, Colet, Nicol, Nicolin, Nicks, Nix

Odo: Odelin, Eudo, Otho, Odinel, Othello

Orlando/Roland: Rollet, Rollin, Rowland, Rowlatt, Rollant, Ruel, Rollanz, Rauland

Paul: Poul, Pole, Pauley, Paulin, Powlis

Peter: Pierce, Piers, Pers, Pell, Perkin, Pirret, Perrin, Perr(el), Pierun, Perron, Peterkin, Petri (Scots)

Philip: Phelp, Philp, Felip, Filkin, Philpot, Phipp, Potkin, Potin

Ralph: Rafe, Rafael, Raff, Radulf, Raul, Raulin, Raulot

Randolph: Randall, Randle, Randulf, Rand(y), Hann, Rann, Ranulf, Rankin, Randekin, Ranel, Rendall

Reginald: Reynold, Reynaud, Reginaud

Richard: Rick, Rich(ie), Digge, Ricot, Richelot, Rickard, Dicel, Dic(con), Dicet, Dicelin, Diggen, Hick, Hicun, Hickot

Robert: Rob(in), Robelard, Dobb(in), Hobb(in), Hobelot, Hobelin, Hopkin, Nobb, Nabb, Nabelot, Bobbet

Roger: Hogg, Rodge, Hodge, Dodge, Dogge, Doggin, Hodgekin

Silas/Silvester: Silvanus, Selwyn, Selvayn, Savin, Salvin, Selwin

Simon: Sim(o)nel, Sim(kin), Simond, Simonet, Simcock

Theobald: Tibalt, Tibbald, Tebbet, Tebb(el), Tybaud, Tepp, Talbot

Theodore: Theodoric, Terry, Todrick, Torrey, Tyrri, Tedric, Therry, Thierry (Fr), Deryk (flem)

Thomas: Tom(lin), Tomkin, Tomcock, Tam(lin), Tommis

Torald: Tory

Vivian: Vidian, Fithian, Fidd, Fidkin, Fiddian, Vidgen

William: Wilmot, Guylote, Will(y), Willet, Wilot, Wilcock, Gilot, Gilmyn

(further reading: female names)

[williamsmybeloved]

F1 drivers as sport brands

Kimi Räikkönen- Helly Hansen

Antonio Giovinazzi- Reebok

Pierre Gasly- Kappa

Yuki Tsunoda- alpha tauri

Fernando Alonso- Everlast

Esteban Ocon- Vans

Sebastian Vettel- Marathon

Lance Stroll- Columbia

Charles Leclerc- Puma

Carlos Sainz Jr.- Adidas

Mick Schumacher- Under Armour

Daniel Ricciardo- Umbro

Lando Norris- Nike

Lewis Hamilton- Asics

Valtteri Bottas- New Balance

Sergio Pérez- Sketchers

Max Verstappen- The North Face

Nicholas Latifi- Fila

George Russell- Converse

[scotianostra]

The Treaty of Perth was signed on the 2nd of July 1266.

A wee catch up post from yesterday, this treaty ended military conflict between Magnus VI of Norway and Alexander III of Scotland over the sovereignty of the Hebrides.

Apart from place names, very little evidence of Viking overlordship remains. There is Jarlshof on Shetland – the name was given to the site by Sir Walter Scott and means ��Earl’s Mansion’ – which is the biggest archaeological site of Viking origin in the British Isles, and Orkney’s very own cathedral shows its Norse foundation, being named after St Magnus when it was founded in 1137 by Earl Rognvald.

Apart from items such as the Lewis chessmen, it could be said that the only evidence of Norse Viking rule over much of Scotland are those place-names, ceremonies like Up Helly Aa, and the New Year tradition that a first foot had to be “dark” because fair hair was so associated with Viking raiders.

It rankled with the Scots that part of their land was so dominated by the Norse who had formed alliances with the Gaels to rule the Hebrides, with the Norse-Gael warrior Somerled and his dynasty taking the Lordship of the Isles and, as we saw some time ago, threatening the mainland before losing the Battle of Renfrew in 1164.

By 1230, the Norwegian King Haakon IV, also known as the Old, decided to restate his control over the Western Isles and he launched a punitive longship raid on Bute and other islands which owed him taxes.

Scotland’s King Alexander II began to seek control of the Hebrides for himself, and even offered Haakon cash for the islands.

There was no deal, and Alexander decided to take at least the Inner Hebrides for himself in 1249, sadly dying on Kerrera  as his battle fleet gathered in Oban Bay.

His son Alexander III was only a boy, but he soon took care of the age old Scottish problem of the relationship with England by marrying Margaret, the daughter of Henry III, at the age of ten.

By 1262, Alexander was a grown man and anxious to carry on his father’s aim of annexing the Hebrides. Haakon was having none of it and gathered the greatest war fleet in Norwegian history and mooring at a place that was named after him – Kyleakin on Skye, meaning ‘strait of Haakon.’

The Norwegian combined force of naval vessels carrying warrior “marines” sailed south in July 1263 to the Firth of Clyde where Haakon raided Bute and landed on Arran. At this point the fact that both kings were Christian intervened, as Alexander sent Dominican friars to negotiate some sort of peace treaty. Haakon had to recognise the churchmen’s efforts and sent two of his bishops to talk to them.

Alexander was stalling for time, however, and Haakon recognised this. The saga which recounts his adventures tells how he sent longships north to Arrochar on Loch Long where they were carried across the land to Loch Lomond and took the lands of Lennox by surprise.

At Largs on October 1, 1263, Haakon sent some of his force ashore and a “battle” began as the Scots army pounced on them. There has been so much nonsense written over the centuries about the Battle of Largs that it is safe to say only one thing – Haakon never got his full force ashore and he sailed back to Arran before heading north to winter on Orkney where he died in December. While there was no real winner in the battle itself, we Scots came off better as events that happened afterwards shows.

His successor, Magnus IV, was cash-strapped and facing internal revolt. He had no wish to continue a war with Scotland over land that he knew to be too far from his country for proper control to be exerted. He sent church messengers to Alexander and a meeting was set between the Scottish king and Magnus’s emissaries in Perth at Blackfriars Monastery in the summer of 1266.

Thus arose the Treaty of Perth in which the King of Norway ceded any claim to the Western Isles, the Isle of Man, and Kintyre and also disclaimed the overlordship of Caithness in return for a one-off payment of 4,000 merks of silver and an annual payment of 100 merks in perpetuity, though Magnus’s envoys made it clear he wanted Orkney and Shetland kept as Norwegian.

With a few strokes of a pen, Alexander vastly increased his kingdom, and apart from Orkney and Shetland, the boundaries of Scotland were set.

For the first time, all of the mainland and the islands off the West Coast plus the Isle of Man came under the sovereignty of the king of Scots rather than the king of Norway.

As the Treaty states in translation from Latin: “All the inhabitants of the said islands which are conceded, resigned, and quitted claim of, to the aforesaid lord, the King of Scotland, both great and small, may be subject to the laws and customs of the kingdom of Scotland, and governed and judged according to these from this time henceforth.”

The treaty also contained an important clause that recognised the previous enmity between Scotland and Norway and cited mutual forgiveness for past actions – one of the first examples anywhere of a treaty of reconciliation and a remarkable addendum.

“Also it is added to this agreement, and by common assent ordained between the kings, and the kingdoms of Norway and Scotland, that all transgressions and offences between them and their ancestors and their people perpetrated to this day on both sides are wholly remitted.”

Scotland and Norway were now friends and allies and those who lived on the West Coast of Scotland and on the islands were safe in the knowledge they need no longer fear invasion by the Norwegian Vikings. Never again was a dispute between Scotland and Norway solved by battle and war, but by diplomacy and discussion.

It would be another two centuries before Shetland and Orkney finally  became Scottish, but the process that made modern Scotland had begun in  the monastery at Perth.

Pics are of Alexander III above the door at St Giles in Edinburgh an Magnus VI at Stavanger Cathedral, Norway.

You can read the Treaty of Perth in full here http://www.isle-of-man.com/manxnotebook/manxsoc/msvol04/v3p210.htm

[a-titty-ninja]

[rangertycho]

暑い夏の準備はできていますか?☀👣

[borealtwilight]

Tag Game!

I was tagged by: @pantheris (thanks babe!) Rules: Answer the questions, and then tag twenty people you want to get to know better (doesn’t have to be twenty; can be as many or as few as you want!). Also, if you don’t wanna do this, then that’s all good, bruv!

nicknames: nat, natty, tal, noodle zodiac: aquarius, allegedly height: 5′3.5″ time: 6:18 PM AEDT favourite band: prooooobably Imagine Dragons song most likely playing in my head: Shake Your Moneymaker by Throttle ft. Lunchmoney Lewis & Aston Merrygold (idk where it came from... it just popped into my head while my Guardian was dancing in Destiny....) last movie I watched: Phar Lap last thing I googled: destiny consumable (because I was an idiot and used one and I had this weird Halloween thing stuck on my head for half an hour c’: ) other blogs: tal-writes (my From Team To Family sideblog); ycvng-gcns (roleplay blog) do I get asks?: *Master Chief voice* on occasion how many blogs do I follow?: 22 why did I choose my name?: after writing a handful of angsty drabbles and causing some major feels, I decided that I was, indeed, the queen of writing angst. and the c instead of the o makes it look pretty :’) avg. amount of sleep: pffff.... maybe,,, 7-10 hours? idk it varies what am I wearing?: denim shorts, green t-shirt dream job: fuck if I know lol I hate work dream trip: visiting my buddies in America, Canada, and the one up in Britain (I see you helly!) favourite food: I’m going to be That Bitch and say Macca’s (McDonald’s for you non-Australians) because fuck it, why not do I play instruments?: no lol hair colour: normally dirty blonde, was dyed copper red; roots are growing out to dirty blonde again eye colour: the only blue eyes that I’m somehow not able to describe (maybe mid blue?) languages: English most iconic song: :)))) Believer by Imagine Dragons

I shall tag: @the-alpha-derp, @spartans-and-novabombs​, @spartan-officer-howard-crossbow​, @hellyjumper​, @helljumper​, @jericho-the-princeofspace​, @epsiloneridani07​ i know this is seven and not twenty but who cares lol

[shalala66]

“CS” --> “AI” --> "CV" sahesinde "Uz tanima" texnikalari haqqinda

Uzun muddetdir uzerinde ishlediyim "Komputer Gormesi"nin daha hessas ve bir o qeder chox zehmet, eziyyet teleb eden "Uz tanima" layihemin proqram teminati ile bagli davamli shekilde, hemchinin, muxtelif variasiyalarda proqram teminatlari, eynile, nezeri-populistik (p.s.: eynile praktiki) meqale(-ler) hazirlamagi qerara aldim.

"Uz taninmasi"nda birinci etaplardan en esasi insan(-larin) uzunun shekil ve ya videoda, elece de real-zamanda kamera vasitesile elde edilen kadrlardan mueyyen edilmesidir. "Face detection" sonrasi icra olunan prosedur "Localization"dir. Hansi ki, "detect" edilen uzun yerleshdiyi koordinatlar ve uzun olchusu nezere alinir. Tarixi meqam 47 illik omrunde chox boyuk texniki ishin esasini qoyan, bu gunku "Suni Intellekt" texnoloji bazarinda muracietler edilen kaskadlar bilavasite Macaristan esilli boyuk riyaziyyatchi-alim Alfred Haar-in ismi ile baglidir,- Haar olchusu, Haar dalgasi ve Haar funksiyalarinin ortoqonal sistemi kimi murekkeb movzularin banisi kimi de taninir elm dunyasinda. Bes, "ortoqonal sistem" riyaziyyatda ne demekdir?! Vektorial elementlerin skalyar hasilidir. {fi} c H- alt vektorlarin skalyar hasili sifira beraberdirse, ortoqonal adlanir. (fi, fi) = 0 Alfred-in riyaziyyatda esas tetbiq sahelerini de esas etibarile ortonormal/ortoqonal sistem funksiyalari, analitik funksiyalar, differensial tenlikler ve s. ehate edib. Qeribedir ki, doktorluq dissertasiyasini Hilbert-in rehberliyi altinda etmesine baxmayaraq, Fon Neyman ve Pontryagin(Lev Semenovich) Hilbertin beshinci probleminin arashdirilmasinda adindan belli oldugu kimi Haar'in ozune istinad ederek, "invariant Haar olchusu"nden faydalaniblar. Arashdirma ise "topoloji qrup"lari oyrenmeye qulluq edirdi. Riyaziyyatda topologiyaya esas 2 yanashma ayrilir: 1. Umumi anlamda - davamliligin, kesilmezliyin erseye gelmesi. 2. Ayri(ca)liqda - davamli deformasiyalar neticesinde oz veziyyetini saxlayan xasseler.

"μ-, μ'- Haar olchusu" riyaziyyatda daha chox "Sag/sol Haar olchusu" kimi taninir. Chox qisa olaraq, "Sol Haar olchusu" movcud sherti "G- (Haussdorf- un lokal komponent topoloji qrupu)" qrupunda "σ- chevrede" mueyyen edilmish "μ- olchudur" (Borel -in 0-dan ferqli reqular olchusu): µ(gA) = µ(A) g ∈ G, A ∈ G. "Sag Haar olchusu" ise eksinedir: μ'(A) = μ'(A^-1) ==> µ'(Ag) = µ'((Ag)^-1) mueyyen edilmish "μ'- olchudur".

"Haar dalgasi(wavelet)" verilenlerin ferqli tezlik komponentlerini analiz etmek uchun yuxarida qeyd etdiyim "ortoqonal sistem funksiya"si uzerinde qurulan riyazi funksiyadir.

"Haar funksiyasi" [0, 1) intervalinda mueyyen edilen funksiyadir. "Riemann inteqrali" ile [0, 1) araliqinda inteqrallanan her bir funksiyani Haar funksiyasi ile siralamaq (siralara parchalamaq, bolmek) olar. Bu "Haar sirasi": 

adlanir.

"Haar sirasi" natural ededler uchun:

Eynile "Furye sirasi" kimi:

Yeri gelmishken, "Riemann" hipotezi de "CMI- CLAY Mathematics Institute" terefinden 2000-ci ilde teyin edilen 100 illik hell edilmemish "7 riyazi problem" sirasina daxildir. Onlardan yalniz biri, yeddinci problem("Poincare" hipotezi) XX esrin en parlaq riyaziyyatchilarindan belke de en birincisi, "The Guardian" neshrinin dercine gore gelmish-kechmish 10 en mohteshem "genius" riyaziyyatchilar sirasinda qerarlashan "Grigori Perelman" terefinden hell edilmishdir (https://www.theguardian.com/culture/2010/apr/11/the-10-best-mathematicians).

O meqama da toxunmaq lazimdir ki, Perelman-in riyaziyyat konfransinda teqdim edilmesi planlashdirilan 1 milyon pul mukafatini redd etmesine esas sebeb daha evveller bu problemin helli ile bagli tekliflerde bulunan "Richard Hamilton"a qarshi edilen haqsizliq, sayqisizliq olmushdur. Bir sozle, Tyurinden sonra Hamilton terefinden bashladilmish arashdirma Perelman terefinden sonlandirilmishdir. Qeribe meqam ise onadan ibaretdir ki, cemi 1 il sonra Hamilton sherqin riyaziyyatchilar uchun "Nobel mukafati" adlandirilan "Show Prize" mukafati ile teltif edilir. Qrisha-nin atdigi redd addimindan ferqli olaraq, miqdari 1 milyon dollar teshkil eden mukafat Hamilton terefinden qebul edilir. Bashqa bir maraqli meqam odur ki, Perelman problemin hellini aidiyyati quruma teqdim etdikden sonra bir kimse onun dogrulugunu yoxlaya bilmir. Bu ise, problemin demek olar ki, riyaziyyatin bir chox qollarini ehate etmesi idi. Neticede bir rus riyaziyyatchisinin teklif etdiyi helli diger boyuk alim, "Abel" mukafati laureati, rus esilli amerikan ve fransiz riyaziyyatchisi "Mixail Qromov" tesdiq edir. Ashagi-yuxari bu movzu ile chox az adam tanishdir. Ancaq, men eminlikle deye bilerem ki, ekseriyyet insanlar meseleni umumiyyetle anlamir, digerleri ise tamamile sehv basha dushurler. Chunki, Perelman yalniz "Poincare hipotezi"nin hellini vermishdi. Lakin, "duz (hamar) dordolchulu Poincare ferziyyesi" hele de hellini tapmayib. Yeni, dordolchulu topoloji sferanin iki ve ya daha chox qeyri-beraber duz (hamar) qurulusha malik olub-olmamasi problemi hele de "unsolved" statusunu dashiyir (red. CMI- Smooth 4-dimensional Poincare conjecture). Umumiyyetle, Puankare hipotezi 1D mustevi de daxil olmaqla, 2D (red. Puankarenin ozu terefinden isbat edilib), 3D (Perelman terefinden isbat edilib), 4D (yuxarida qeyd etdiyim kimi hell edilmeyib) topoloji problemidir.

Xulase, Haar-in riyazi alqoritmik metodunu bir az daha tekmilleshdirerek, Viola ve Johns 2001-ci ilde komputer texnikasi elmine oz tohvelerini verdiler. Haar metodunda oldugu kimi insan uzunden savayi muxtelif obyektlerin ashkarlanmasinda da istifadeye yarayirdi. Insan uzunu misal chekesi olsaq, duzbucaqli sahelerden ibaret piksellerin cemlenmesi emeliyyati hesabina pikseller regionunun insan uzunu teshkil etmesi mueyyen edilir. Bezi texniki edebiyyatlarda "ortogonal ve ya rectangular filter" kimi adlanir. Daha deqiq ve tez bir zamana netice veren "steerable filter" istifade edile biler. Lakin, ortoqonal filterlerin esas ustunluyu "processing" zamani shekilleri inteqral formatda saxlamasidir. Ki, "detection's time complexity O(1) const time"a yerine yetirilir. Inteqral format ise, "integral image" adlanir:

Bu, o demekdir ki, shekli teshkil eden her bir piksel ozunden solda ve yuxarida yerleshen qonshu piksellerin cemine beraberdir. Qonshu piksellerin etrafinda

yerleshen, bir-birine mesafesi texmini 1-2 piksel teshkil eden pikseller ile girish sheklinin AxA olchulu sag ashagi kunc matriksini elde edirik ki, bu da "wanted area"dir. Bu texnikani ilk defe "Frank Crow" "Komputer Qrafika"sina daxil edib. Sonradan, "Lewis" terefinden "Computer Vision"a da transfer edilib. Shekilde ardicilliqla "Edge, Line ve Four-rectangle feature"lar gosterilib:

p.s.: Frank C. Crow ve Lewis’in resmlerini hech bir internet menbeden elde ede bilmedim.

"Background"da Viola & Johns metodu "Ada Boost (Adaptive Boosting) by Freund & Schapire" adli mashin oyrenmesi alqoritmi tetbiq edile biler. "Ada Boost" obyekte gore klassifikasiya aparir. Ve, bu klassifikatorlari bir nov "merge" edir. Qisaca onu da bildirim ki, klassifikatorlarin(red. bu "unity comitet" deye qeyd olunub) ish prinsipi her obyekte gore daha evvelki prosesde sehv klassifikasiya edilenlere hesablanib. Tebii ki, esas ish prinsipi axtarilan obyektin (ROI- Region of Interest) pozitiv, eks obyektler sinfinin ise neqativ qruplashdirilmasina dayanir. Artan murekkeb iyerarxiya ile orqanize edilir. Ki, bu da oz novbesinde "cascade" adlanir. Lazimi obyektin tapilmasi insan uzu nahiyelerinin bolgusu(face labelling) ile heyata kechirilir. Bele ki, burunun mueyyen olunmasi uchun vertikal, eksine gozlerin tapilmasi uchun goz etrafi halqalarin insan uzunun diger regionlarina nisbeten daha tund ve qaraya chalan olmasina gore horizontal duzbucaqli filterlerden istifade edilir. Minimal "error rate"e sahib konsept "Haar cascades"dir. Uzun mueyyen olunmasina qulluq eden "cascade"lardan savayi muxtelif obyektlerin de mueyyen olunmasi uchun "Haar cascade"lar (XML formatda) movcuddur. Butun bu emeliyyatlar,- uzun mueyyen olunmasi, esasen 2 etapa yerine yetirilir:

1. Characteristics - AxB mashtabi.                     statik ishiqlandirilmish muhit.                     muxtelif istiqametlerde ve bucaqda ferqli uz ifadeleri.

2. Preprocessing - cropping -> butov goruntuden lazim olan hissesin alinmasi.                   grayscale converting -> diger konvertasiyalar(BGR2RGB) da tetbiq edile bilinir. Bu ise, yaxin kechmishde sahibkarlarin BGR standarti ile mehsul satishina dayanir.                   resizing -> standart teyin etdiyimiz olchunun elde edilmesi.                   equalization -> daha dogrusu, "histogram equal." ferqli ishiqlandirilmaya malik zonalarin "smoothing"i(beraberliyin elde edilmesi) uchun istifade edilir.                   filtering -> "billaterial filtering"(2x) kichik detallarin "smoothing"i uchun muraciet edilir.

Vurqulamaq lazimdir ki, umumileshdirilmish halda uz tanima emeliyyati da 2 etapa sonlanir: 1. Training. 2. Recognition.

Bu hisseye qeder behs etdiklerim xususiyyetler sayesinde klassik uz tanima metodunu(via CV), bir sozle, kaskad klassifikatorlarini ehate edir. OpenCV GitHub layihesinin bir hissesi oldugu uchun de bashlica metod "multi-scale detection"dir(ozunde uzun tapilmasi uchun shekil uzre ashagi-yuxari hereket sayinin teyinine gore "scale factor (by default 1,1)", uzun mueyyen olunmasindan deqiq emin olmaq uchun kifayet edecek duzbucaqli sahelerin sayi uchun "minimal neighbors(by default 3)", oxunan fraqmenti cemleyir). Tebii ki, "manual" mudaxile chox teleb olunur. Daha neologist usul ise "derin oyrenme" ile MTCNN (by Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao) vasitesile uzun tapilmasi, mueyyen edilmesidir. Adindan gorsendiyi kimi DL (deep learning) ile kolvulsional neyronal shebeke sayesinde qurulur. Elave ferqli ceheti "facial landmark"dir:

MTCNN piramidal bolguden sonra sub-net olaraq, ozunde 3 CNN birleshdirir: (P)roposal-Net -> uz sahesi(facial region), (R)efine-Net   -> serhedleyici cherchive(bounding box), (O)utput-Net   -> uz nahiyeleri(facial landmarks). Ona gore de "Multi-task Cascaded Convolutional [Neural] Networks" ismini dashiyir. "DL framework - Caffe" proyekti cherchivesinde "release" edilib. "Tensorflow/Theano/TFLearn-Keras/Caffe kimi framework"larin nezninde istifade edilir. Muhum rol oynayan metod mtcnn()-dir. Ozunde yuxarida adi kechen "scale factor", "box - x, y (height, width)", "[prediction] confidence" ve ferqli olaraq, "keypoints (face labeling -> right/left -> eye)" cemleyir:

Yuxarida eks etdirilen "MTCNN's local landmarks" texnikasidir. "General landmarks model" ise esasen "labeling", "blinking", uz simmetriyasinin, veziyyeyinin mueyyenleshdirilmesinde istifade edilir. Numunedeki 68-d annotasiyadan ferqli 128-d, 194-d modeller de movcuddur.

Bu hissede, yene de onceki meqalelerden birinde chox genish toxundugum her uch "sub-net CNN"de "NMS (Non-max suppression) & BB(Bounding Box)" ile IoU (Intersection over Union) alqoritmi ishleyir:

Bes, niye NMS IoU sayesinde ugurlu performans sergileye bilir?! Cavabi chox sadedir.. Ona gore ki, obyekt ashkarlanmasi elminde esas problem "mueyyenleshdirme, klassifikasiya ve lokalizasiya" proseslerinin bir neche ve yaxud her matriks, yeni, "grid of cell"e gore ferqli "centroid"lerle qeyd etmesidir. Ki, "Non-max suppression" "IoU" vasitesile en yuksek ehtimalliq deyerini(probability value) tapmaqla, optimizasiya tetbiq ede bilir. Bele deyek, bu elmde "predicted box ve ground truth" movhumlari var. IoU (by default > 0.5) bu iki movhumu birleshdirmeye xidmet edir: 

Tam terifi veresi olsaq, ehtimalliq "Sherti Ehtimalliqa(Conditional Probability)"a ehtiva edir. Bu Bayes teoremidir:

 ve ashagidaki shekillerden gorunduyu kimi dusturun mexrecinde "Mutleq Ehtimalliq" hadisesi de yer alir, 

hemchinin, Venn diaqramina da muraciet eks edilir (red. Euler diaqrami da elaqeli movzudur):

Indi ise, uz tanima ile bagli tarixi-nezeri-praktiki meqamlara toxunmaq isteyirem. Avtomatlashdirilmish (daha dogrusu yari-avtomatlashdirilmish) uz tanima sisteminin pionerleri hele 1960-ci illerden aidiyyati sahede ugurlar elde eden "Helen Chan Wolf (dunyada ilk avtonom robotun muellifi), 

Woodrow Wilson Bledsoe" 

ve neinki her hansi bir shekli, hemchinin, "Wikipedia" da daxil olmaqla hech bir internet sehifesinde haqqinda normal bilgi olmayan "Charles Bisson"dur. Bildiyimiz kimi insanlar uchun bu tapshiriq resmi dokumentasiyada da vurqulandiqi kimi ele de chetin deyil. Insanlarda lap kichik yashlarindan uz tanima qabiliyyeti formalashmaga bashlayir. Beyinimiz qarshimizda canlanan goruntunu nece analiz edir ve kodlashdirir? Bu barede ilk elmi ish felsefe ve tibb elmleri sahesinde Nobel mukafati laureatlari, "neuroscience"da evezsiz xidmetleri olan chox boyuk alimler "David Hunter Hubel 

ve Torsten Nils Wiesel" 

terefinden beynin xett, bucaq, siluet, kenar hisseler, elexsus, herekete reaksiya veren lokal, daxili spesifik xususiyyetlere malik xususi sinir huceyrelerinden ibaret oldugu teqdim olunub. Bele ki, biz etraf-alemi hisselere parchalanmish halda deyil de, beyin qabiqi sayesinde birleshmish shablon formasinda goruruk. Bes, komputerler nece? Onlar uchun prosesin murekkeblik derecesi ne qederdir? Eynile, insan beyninde oldugu qeder. Sadece, insan beyni her daim "backend"de ishlek oldugu uchun bir chox ishleri bilavasite prosese biz terefden mudaxile olunmadan, gorur. Uz taninmasinda intuitiv yanashmalardan(Evklid mesafesi ile insan uzunun hendesi qurulushunun etalon sheklin vektorial xususiyyetlerine gore hesablanmasi - gozlerin, qulaqlarin, burnun movqeyi ve s.):

tutmush daha muasir( [Eigenfaces] - choxolchulu shekil mustevisinden ibaret noqte. AxB olchulu sheklin grayscale chalarina kechidde S=AxB 3D vektorial muhiti zebt etmesi, 100x100 pikselli sheklin 10.000 pikselli 3 olchulu muhitde yerleshmesi yuksek choxolchululuk problemi yaradir, Karl Pearson 

ve Harold Hotelling 

PCA hellini teklif edibler.  Meqsed korelyasiyaya meruz qalan "data"ni minimuma endirmek idi,

[Fisherfaces] - Eigenfaces'in "kernel"i PCA uzerinde qurulub(red. PCA - Principal Component Analysis vasitesile verilenlerin dispersiyasini maksimallashdiran funksiyalarin xetti kombinasiyasi tapilir, lakin, dispersiya butun sinif verilenlere tetbiq edildiyi uchun "data info" itkilerlerle bagli problemler meydana chixir). Adindan melum oldugu kimi statistika muhendisi Ronal Aylmer Fisher

terefinden daxil edilib,- LDA - Linear Discriminant Analysis(xetti diskriminant),

[LBP 2^8 (0, 1) kombinasiya -> LBPH - Local Binary Patterns Histograms] - 2D textural analyze) ve murekkeb "solution"lar istifade edilmekdedir. Umumi qruplashdirma aparsaq, "geometry(SVM, LDA, PCA <=> LPP <=> ICA, DCT, Gabor, ), piecemal(HMM), appearance/model(Kernel PCA), statistical(NN, NN + Gabor, NN + HMM, NN + Fuzzy) based" kimi bole bilerik.) usullara qeder.

-----------------------------------------------------------------------------------------------------------

neyropsixoloji neyrofizioloji informativ-prosedural komputer modelleri

[mortikacrush]

#INTRODUCTIONS (2015) from LaBeouf, Rönkkö & Turner on Vimeo.

By LaBeouf, Rönkkö & Turner in collaboration with Central Saint Martins BA Fine Art 2015 students. csmbafa15.co.uk

Released under a Creative Commons Attribution Non-Commercial Share-Alike licence.

Angus Joseph (00:00) Elenor Hellis (00:25) JJ Tipton (01:22) Alice Woods & Jasmin Newman (02:01) Charlie Floyd (03:03) Oliver Coltman (03:52) Salome Partouche (04:48) Sam Walkden (05:31) Christian Wright (05:49) Andrew Smith (06:28) Hanqing Miao (07:31) Mikako Mitani (08:37) Joshua Parker (08:58) Alice Kilkenny (10:03) Alexandre Saden (10:54) Katie Tindle (12:02) Maureen Monod & Moea Creugnet (12:52) Caitlin Black (13:25) Nina Davies (14:34) Emma Gill (15:11) Michael Peters (16:03) Alexis Marie Sera (16:36) Steph Hardy (18:49) Charles Verni (19:34) Joseph Garwood (20:53) Elenor Turnbull (21:38) Tiago Daniel Da Silva Coelho (22:20) Charlie Carr-Gomm (23:04) Jack Evans (23:38) Juliet Kasbar & Tania Olivares (24:20) Joseph Moss (24:49) Adeeb Ashfaq (25:44) Georgina Pickford (26:15) Roman Sheppard Dawson (26:54) Lewis Tizley (27:29) Alice Jacobs (28:10)

labeoufronkkoturner.com

[min-sugakookies]

Music Tag

Rules: you can tell a lot about a person by what they listen to. Put your music on shuffle and list the first ten songs that show up.

I just wanted to do this… Lol.

1: Sweet Things by The Pretty Reckless.

2: Alphabet Boy by Melanie Martinez. 3: Words As Weapons by Seether. 4: Ashes Of Eden by Breaking Benjamin. 5: Good Girls Bad Guys by Falling In Reverse. 6: Bad Romance by Halestorm. 7: Johnny Ringo by Crown The Empire. 8: Let It Die by Starset. 9: Can’t Hold Us by Macklemore & Ryan Lewis. 10: Hero by Pegboard Nerds, feat Elizaveta. Tagging…. @n3rdlif343va @paxohana @lucycamui @maydei @kyyhky @queen-among-writers @akemi-hy @heilariart @helly-watermelonsmellinfellon @forovnix @feiuccia @daysinrussiavictuuri @dadvans @dailyvicturi @extranikiforov

[didesi]

From Georgia to Antarctica by southerncrossfla featuring dishwasher safe mugs ❤ liked on Polyvore

Topshop boxy shirt / Helly Hansen athletic sportswear / Juicy Couture off white boots / H m shawl / EA7 Emporio Armani glove / John Lewis ear muff headphone / Ivory throw / Dishwasher safe mug / Mint Hot Chocolate / R.e.d. Mutiny Snowsports Helmet '13 @ Sun and Ski Sports - FREE... / New Wave Enviro USSA Ski Team Bottle, 40oz / Volcom Womens Battle Stretch Pant  ·  Women's Outerwear  ·  SHORELINE... / Jansport Heritage Ski & Hike Backpack - Navy Blue / Garnier Ambre Solaire UV Ski Combi 2-in-1 SPF 30 Sun Cream with SPF 20...