| Your search for 40450 returns 2191 document(s) |
| Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking, page 1499 |
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Author: A. Elgammal | Type: Indeks Artikel Jurnal
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| Object tracking in image sequence using particle filter/ Indah Agustien S.; M. Rahmat Widyanto |
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Author: Agustien S, Indah; Widyanto, M. Rahmat | Call Number: Pub. Staf PI-0003 | Type: Prosiding Internasional
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| Quantification method for in-vitro tissue culture plants morphology using object-tracking and digital image analsyis, Hal. 39-44 |
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Author: Kestrilia Rega; Agus Buono; Iman Hermadi; | Call Number: SEM-303 | Type: Indeks Artikel prosiding/Sem
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| Quantification method for in-vitro tissue culture plants morphology using object tracking and digital image analysis, Hal. 39-44 |
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Author: Kestrilia Rega P.; Agus Buono; Sutoro; Irman Hermadi; | Call Number: Sem-303 | Type: Indeks Artikel prosiding/Sem
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| Resolving occlusion in multi-objects tracking using fuzzy similarity measure ( hal 33 - 38) |
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Author: Rahmatri Mardiko , M.Rahmat widyanto; | Call Number: SEM - 362 | Type: Indeks Artikel prosiding/Sem
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| Modified Deep Particle Filter Using Cuckoo Search For Scale Variation And Occlusion Object Tracking |
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Author: Diah Harmoni Apriyanti; | Call Number: Mak T Jilid 071-095 (T-1002) (Mak T-092) | Type: Makalah Tesis
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| Modified deep particle filter using cuckoo search for scale variation and occlusion tracking |
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Author: Nazria Rahmi; | Call Number: Mak T Jilid 121-139 (T-1293) (Mak T-138) | Type: Makalah Tesis
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| Dynamic texture recognition using local binary patterns with an application to facial experssion |
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Author: Guoying Zhao and Matti Pitkikainen | Type: Indeks Artikel Jurnal
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| ITMS - a case study of a secure web application using OWSP guideline, Hal. 494-499 |
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Author: Khairul Anwar Sedek, Mohd Nizam Osman, Nortis bt Osman; | Call Number: SEM-276 | Type: Indeks Artikel prosiding/Sem
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| Introduction to computing using python: an application development focus 2nd ed. |
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Author: Perkovic, Ljubomi; | Call Number: 005.117 Per i | Type: E-book
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