{"id":1119,"date":"2023-04-08T16:04:02","date_gmt":"2023-04-08T13:04:02","guid":{"rendered":"https:\/\/legendhomework.com\/tr\/?p=1119"},"modified":"2023-04-08T16:04:02","modified_gmt":"2023-04-08T13:04:02","slug":"ag-insasi-multimedya-bolumu-multimedya-bolumu-odevleri-multimedya-bolumu-tez-yaptirma-multimedya-bolumu-odev-ucretleri","status":"publish","type":"post","link":"https:\/\/legendhomework.com\/tr\/ag-insasi-multimedya-bolumu-multimedya-bolumu-odevleri-multimedya-bolumu-tez-yaptirma-multimedya-bolumu-odev-ucretleri\/","title":{"rendered":"A\u011f \u0130n\u015fas\u0131 \u2013 Multimedya B\u00f6l\u00fcm\u00fc \u2013 Multimedya B\u00f6l\u00fcm\u00fc \u00d6devleri \u2013 Multimedya B\u00f6l\u00fcm\u00fc Tez Yapt\u0131rma \u2013Multimedya B\u00f6l\u00fcm\u00fc \u00d6dev \u00dccretleri"},"content":{"rendered":"

A\u011f \u0130n\u015fas\u0131 <\/span><\/strong><\/h3>\n

D\u00fczenleme mesafesi algoritmas\u0131nda kullan\u0131lan uygunluk \u00f6l\u00e7\u00fcs\u00fc, a\u011f\u0131n ini\u015fi s\u0131ras\u0131nda monoton bir \u015fekilde kademeli olarak artar. Her d\u00fc\u011f\u00fcmde, en d\u00fc\u015f\u00fck hata maliyeti izomorfizmi, bir A* arama stratejisinin kullan\u0131m\u0131na izin vermek i\u00e7in uygunluk de\u011feri olarak hesaplan\u0131r. LCSG algoritmas\u0131 i\u00e7in kullan\u0131lan \u00f6l\u00e7\u00fc i\u00e7in de benzer bir \u00f6zellik istenmektedir.<\/span><\/p>\n

Etkinle\u015ftirilmi\u015f bir d\u00fc\u011f\u00fcm\u00fcn uygunlu\u011funu belirlemek i\u00e7in LCSG algoritmas\u0131 taraf\u0131ndan kullan\u0131lan \u00f6l\u00e7\u00fc, d\u00fc\u011f\u00fcm\u00fcn katk\u0131da bulundu\u011fu en b\u00fcy\u00fck modelin s\u0131ras\u0131ndan \u00e7\u0131kar\u0131lm\u0131\u015f bir joker karta e\u015flenen k\u00f6\u015felerin say\u0131s\u0131d\u0131r. Bu hesaplaman\u0131n yap\u0131labilmesi i\u00e7in a\u011fa ek bilgilerin dahil edilmesi gerekir.<\/span><\/p>\n

Ayr\u0131\u015ft\u0131rma a\u011f\u0131n\u0131n ilk in\u015fas\u0131 s\u0131ras\u0131nda, her yeni d\u00fc\u011f\u00fcm, ilk modelin s\u0131ras\u0131na ayarlanm\u0131\u015f, d\u00fc\u011f\u00fcm\u00fcn katk\u0131da bulundu\u011fu en b\u00fcy\u00fck modelin s\u0131ras\u0131na sahiptir. Daha fazla model eklendik\u00e7e, a\u011fa yeni bir model derlenirken ziyaret edilen her d\u00fc\u011f\u00fcm, katk\u0131da bulunulan modellerin kay\u0131tl\u0131 maksimum s\u0131ras\u0131n\u0131 yeni modelin s\u0131ras\u0131na g\u00f6re kar\u015f\u0131la\u015ft\u0131r\u0131r ve yeni model daha b\u00fcy\u00fckse g\u00fcncellenir.<\/span><\/p>\n

\u0130\u00e7inde, ayr\u0131\u015ft\u0131rma a\u011f\u0131n\u0131n her d\u00fc\u011f\u00fcm\u00fc, d\u00fc\u011f\u00fcm\u00fcn katk\u0131da bulundu\u011fu en b\u00fcy\u00fck modelin s\u0131ras\u0131 ve \u00f6rnek girdi i\u00e7in uygunluk \u00f6l\u00e7\u00fcs\u00fc ile a\u00e7\u0131klanm\u0131\u015ft\u0131r. {c, d} alt grafi\u011fini temsil eden d\u00fc\u011f\u00fcm\u00fcn, bir d\u00fc\u011f\u00fcm\u00fcn ? ile e\u015flendi\u011fi ikinci bir olas\u0131 d\u00fc\u011f\u00fcm e\u015flemesine sahip oldu\u011funa dikkat edin.<\/span><\/p>\n

Bu t\u00fcr ek e\u015flemeler, her a\u011f d\u00fc\u011f\u00fcm\u00fcnde m\u00fcmk\u00fcnd\u00fcr; ancak bu \u00f6zel e\u015fleme, sa\u011flanan girdi grafi\u011finin s\u0131n\u0131fland\u0131r\u0131lmas\u0131 i\u00e7in gereken tek alternatif e\u015flemedir ve bu nedenle \u015fekilde g\u00f6sterilen tek ek e\u015flemedir. Bu uygunluk \u00f6l\u00e7\u00fcs\u00fc, her bir a\u011f d\u00fc\u011f\u00fcm\u00fcn\u00fcn katk\u0131da bulunabilece\u011fi olas\u0131 LCSG boyutuna bir \u00fcst s\u0131n\u0131r verir ve bu \u00f6l\u00e7\u00fc, a\u011f ini\u015finde monoton bir \u015fekilde azalmaktad\u0131r.<\/span><\/p>\n

Ne yaz\u0131k ki, \u00f6l\u00e7\u00fcm yaln\u0131zca en iyi d\u00fczenin bir tahminini sa\u011flar; bu, a\u011f\u0131n ilk b\u00f6l\u00fcmlerinde b\u00fcy\u00fck bir fazla tahmin olabilir ve ini\u015f s\u0131ras\u0131nda daha s\u0131k\u0131 bir \u015fekilde k\u0131s\u0131tlan\u0131r. \u00d6nlem ba\u015flang\u0131\u00e7ta girdinin s\u0131ras\u0131 ile s\u0131n\u0131rland\u0131r\u0131labilir; bununla birlikte, orijinal \u00f6l\u00e7\u00fc, aramay\u0131 \u00f6nce en b\u00fcy\u00fck modellere katk\u0131da bulunan d\u00fc\u011f\u00fcmlere y\u00f6nlendirir, bu da makul bir ba\u015flang\u0131\u00e7 k\u0131lavuzudur.<\/span><\/p>\n

Bu uygunluk \u00f6l\u00e7\u00fcs\u00fc, ayr\u0131\u015fma a\u011f\u0131n\u0131n her bir d\u00fc\u011f\u00fcm\u00fcne bir k\u00f6\u015fe frekans tablosu getirilerek rafine edilebilir ve b\u00fcy\u00fck \u00f6l\u00e7\u00fcde geli\u015ftirilebilir.<\/span><\/p>\n

Bir d\u00fc\u011f\u00fcmdeki uygunluk \u00f6l\u00e7\u00fcs\u00fcn\u00fc hesaplarken yanl\u0131\u015fl\u0131\u011f\u0131n ana kayna\u011f\u0131, bir joker karakterle e\u015flenen bir tepe noktas\u0131n\u0131n a\u011f\u0131n ayr\u0131 bir dal\u0131nda do\u011fru bir \u015fekilde e\u015flenip e\u015flenemeyece\u011fini bilmememizdir. \u00d6rne\u011fin, giri\u015f grafi\u011fi ve ayr\u0131\u015ft\u0131rma a\u011f\u0131 verildi\u011finde, a, b ve c k\u00f6\u015felerini i\u00e7eren d\u00fc\u011f\u00fcm e\u015flemeye sahip olmal\u0131d\u0131r?<\/span><\/p>\n

Bu noktada, m\u00fcmk\u00fcn olan maksimum LCSG’nin ikiye d\u00fc\u015f\u00fcr\u00fcld\u00fc\u011f\u00fcn\u00fc s\u00f6yleyemeyiz, \u00e7\u00fcnk\u00fc a\u011f\u0131n a etiketli tepe noktas\u0131 i\u00e7in bir e\u015fleme \u00fcretebilecek ba\u015fka bir dal\u0131 vard\u0131r. Asl\u0131nda, bu \u00f6rnekte, ba\u015fka bir dal, a etiketli k\u00f6\u015fe i\u00e7in bir e\u015fleme \u00fcretir, bu da \u00fc\u00e7\u00fcnc\u00fc dereceden ortak bir alt grafi\u011fe g\u00f6t\u00fcr\u00fcr. Bu, uygunluk \u00f6l\u00e7\u00fcs\u00fc i\u00e7in neden fazla tahmin kullan\u0131lmas\u0131 gerekti\u011fini g\u00f6sterir.<\/span><\/p>\n

Bununla birlikte, baz\u0131 durumlarda, uygunluk \u00f6l\u00e7\u00fcs\u00fcn\u00fc, her d\u00fc\u011f\u00fcmde, d\u00fc\u011f\u00fcm\u00fcn katk\u0131da bulundu\u011fu herhangi bir modelde meydana gelen her k\u00f6\u015fe etiketinin maksimum \u00f6rnek say\u0131s\u0131n\u0131 kaydederek geli\u015ftirmek m\u00fcmk\u00fcnd\u00fcr. Bu bilgi, her d\u00fc\u011f\u00fcm i\u00e7in tepe frekans tablosunda saklan\u0131r. N1 ve N2 etiketli d\u00fc\u011f\u00fcmlerde tepe frekans tablolar\u0131 g\u00f6sterilmi\u015ftir.<\/span><\/p>\n

Giri\u015f grafi\u011finde yer alan bir k\u00f6\u015fe ? ile e\u015flenirse, do\u011fru \u015fekilde e\u015flenebilecek ba\u015fka bir k\u00f6\u015fe \u00f6rne\u011fi olup olmad\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in k\u00f6\u015fe frekans tablosu incelenebilir. N1 d\u00fc\u011f\u00fcm\u00fcn\u00fcn katk\u0131da bulundu\u011fu modellerin hi\u00e7birinde a etiketli birden fazla k\u00f6\u015fe yoktur, b\u00f6ylece N1 d\u00fc\u011f\u00fcm\u00fc a etiketli bir tepe noktas\u0131n\u0131 ? olarak e\u015flediyse, LCSG i\u00e7in m\u00fcmk\u00fcn olan en iyi s\u0131ra, giri\u015f eksi s\u0131ras\u0131d\u0131r bir.<\/span><\/p>\n

Grafik bu durumu g\u00f6stermektedir. Bu girdi, a, b ve c k\u00f6\u015felerini i\u00e7eren a\u011f d\u00fc\u011f\u00fcm\u00fc N1 kullan\u0131larak s\u0131n\u0131fland\u0131r\u0131ld\u0131\u011f\u0131nda, ?, b, c e\u015flemesi ile ula\u015f\u0131l\u0131r ve a e\u015flenir? \u00e7\u00fcnk\u00fc a ile c aras\u0131nda kenar yoktur. N1 d\u00fc\u011f\u00fcm\u00fc i\u00e7in tepe frekans tablosu g\u00f6sterilmi\u015ftir.<\/span><\/p>\n

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Bilgisayar a\u011f\u0131<\/span>
\nBilgisayar a\u011flar\u0131<\/a> Nedir<\/span>
\nBilgisayar a\u011flar\u0131 Nelerdir<\/span>
\nYapay \u00f6r\u00fcmcek a\u011f\u0131<\/span>
\nD\u00fcnyada ilk internet kullan\u0131m\u0131<\/span>
\n\u00d6r\u00fcmcekler nas\u0131l a\u011f yapar<\/span>
\nBilgisayar a\u011flar\u0131 PDF<\/span>
\nYapay \u00f6r\u00fcmcek a\u011f\u0131 nas\u0131l yap\u0131l\u0131r<\/span><\/p>\n

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Bu nedenle, bir joker karakterle e\u015flenen a, bu d\u00fc\u011f\u00fcmden ula\u015f\u0131labilen modellerin herhangi birinde a olarak etiketlenen tek tepe noktas\u0131d\u0131r. Bu nedenle, bu d\u00fc\u011f\u00fcmden elde edilebilecek LCSG s\u0131ras\u0131 \u00fc\u00e7t\u00fcr, bu da girdinin s\u0131ras\u0131 eksi birdir.<\/span><\/p>\n

Buna ek olarak, tepe frekans tablosu kullan\u0131larak uygulanabilen ve arama alan\u0131n\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde azaltabilen son derece yararl\u0131 bir ek etki vard\u0131r. Ayr\u0131\u015ft\u0131rma a\u011f\u0131n\u0131n her ilk d\u00fc\u011f\u00fcm\u00fcnde, ortak k\u00f6\u015fe say\u0131s\u0131n\u0131 belirlemek i\u00e7in girdinin k\u00f6\u015feleri d\u00fc\u011f\u00fcm\u00fcn tepe frekans tablosu ile kar\u015f\u0131la\u015ft\u0131r\u0131labilir.<\/span><\/p>\n

Bir d\u00fc\u011f\u00fcm\u00fcn katk\u0131da bulundu\u011fu en b\u00fcy\u00fck modelin s\u0131ras\u0131 yerine ortak k\u00f6\u015felerin say\u0131s\u0131n\u0131 kullanmak, LCSG i\u00e7in olas\u0131 s\u0131ran\u0131n \u00e7ok daha do\u011fru bir \u00f6l\u00e7\u00fcs\u00fcn\u00fc verir. Bu \u00f6l\u00e7\u00fc, e\u015fle\u015ftirme s\u0131ras\u0131nda her d\u00fc\u011f\u00fcmde hesaplanabilir ve haritaland\u0131\u011f\u0131 bilinen k\u00f6\u015fe noktalar\u0131n\u0131n say\u0131s\u0131 bu yeni tahminden \u00e7\u0131kar\u0131labilir. Pratikte bu, hesaplama s\u00fcresini girdideki d\u00fc\u011f\u00fcm say\u0131s\u0131yla orant\u0131l\u0131 bir fakt\u00f6r kadar azalt\u0131r.<\/span><\/p>\n

Tepe frekans tablosunun bu ilavesi, genel uygulamalar i\u00e7in kullan\u0131labilecek \u015fekilde makul bir alan gereksinimine sahip bir model veritaban\u0131 ile bir giri\u015f grafi\u011fi aras\u0131ndaki LCSG’nin saptanmas\u0131 i\u00e7in verimli bir algoritma sa\u011flar.<\/span><\/p>\n

Video ve g\u00f6r\u00fcnt\u00fc veritabanlar\u0131 genellikle y\u00fcksek d\u00fczeyde benzer yap\u0131 sa\u011flar ve ayr\u0131\u015ft\u0131rma a\u011f temsilini \u00e7ekici bir se\u00e7enek haline getirir. LCSG algoritmas\u0131n\u0131n teorik hesaplama karma\u015f\u0131kl\u0131\u011f\u0131, genel bir d\u00fczenleme mesafesi \u00f6l\u00e7\u00fcs\u00fcnden daha d\u00fc\u015f\u00fckt\u00fcr, ancak belirtildi\u011fi gibi, bir d\u00fczenleme mesafesi algoritmas\u0131n\u0131n hesaplama karma\u015f\u0131kl\u0131\u011f\u0131, d\u00fczenleme i\u015flemlerine uygulanan maliyetlere ba\u011fl\u0131d\u0131r.<\/span><\/p>\n

Bir Video Veritaban\u0131 \u00dczerinden Yap\u0131lan Testlerin Sonu\u00e7lar\u0131<\/span><\/strong><\/h3>\n

Deneylerde kullan\u0131lan video veri taban\u0131, esas olarak Kamp\u00fcs Rehberi veri taban\u0131m\u0131zdan al\u0131nm\u0131\u015ft\u0131r. Bu video klipler, Curtin Teknoloji \u00dcniversitesi kamp\u00fcs\u00fcndeki \u00e7e\u015fitli konumlar aras\u0131nda y\u00fcr\u00fcyen bir rehberi g\u00f6steriyor. Kamp\u00fcs Rehberi’ndeki kliplere ek olarak, park ve \u015fehir sahnelerinin bir dizi ba\u015fka klibi ve tamamen farkl\u0131 t\u00fcrde sahnelerin az say\u0131da farkl\u0131 klipleri vard\u0131r.<\/span><\/p>\n

Geri alma \u00f6rnekleri g\u00f6r\u00fclebilir. \u0130\u00e7inde, g\u00f6sterilen tek bir ikonik eskiz, sorgu sistemine sunuldu. Bu sorgu istekleri k<\/span>\u0131lavuzun \u00c7\u0131k\u0131\u015f ile \u00e7ak\u0131\u015ft\u0131\u011f\u0131 K\u0131lavuz, \u00c7\u0131k\u0131\u015f nesnelerini i\u00e7eren bir g\u00f6r\u00fcnt\u00fc veya video \u00e7er\u00e7evesi sunar.<\/span><\/p>\n

Alma i\u015flemi, iki dizide e\u015fle\u015fen iki \u00e7er\u00e7evenin alg\u0131lanmas\u0131yla sonu\u00e7lan\u0131r. Dizilerin her biri i\u00e7in g\u00f6r\u00fcnt\u00fc g\u00f6r\u00fcnt\u00fcleme arac\u0131yla birlikte arabirimi ve g\u00f6r\u00fcnt\u00fclenen dizi i\u00e7in iki \u00e7er\u00e7eve se\u00e7ene\u011fi sunan g\u00f6r\u00fcnt\u00fc g\u00f6r\u00fcnt\u00fcleme ara\u00e7lar\u0131n\u0131n her biri i\u00e7in kontrol penceresini g\u00f6sterir.<\/span><\/p>\n

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