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Bersama ini kami mengumumkan agenda NUS Goes to Fasilkom UI, menghadirkan Prof. Stephane Bressan (National University of Singapore, NUS) yang akan mengulas topik-topik di bidang Database.Adapun jadwal seminar dan kunjungan adalah sebagai berikut: Tanggal Waktu Tempat Topik Rabu, 7 September, 2016 13.00 – 14.45 WIB atau 17.30 – 19.15 WIB Ruang 1213 Gedung A lantai 2 Fasilkom UI Depok ERD for Business Kamis, 8 September, 2016 13.00 – 15.00 WIB...
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We would like to announce the schedule for NUS Goes to Fasilkom UI by Prof. Stephane Bressan (National University of Singapore, NUS), which is being held on: Date Time Location Topic Wednesday, 7 September, 2016 1.00 – 2.45 PM or 5.30 – 7.15 PM Room 1213 Building A 2nd floor, Fasilkom UI Depok ERD for Business Thursday, 8 September, 2016 1.00 – 3.00 PM Room 1213 Building A 2nd floor,...
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We would like to announce the schedule for Seminar which is being held on: Date : Monday, August 29, 2016 Time : 1.00 am – 2.00 pm Location : Auditorium Fasilkom UI Depok Speaker : Prof. Yves Lepage (Waseda University, JAPAN) Topic : Recent Research Topics in The EBMT/NLP lab at IPS DOWNLOAD POSTER Should you be interested in participating, please register with sending an email to: humasfasilkom@cs.ui.ac.id
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Bersama ini kami mengumumkan agenda Seminar Fasilkom UI, sebagai berikut: Tanggal : Senin, 29 Agustus 2016 Waktu : 13.00 – 14.00 WIB Tempat : AULA Fasilkom UI Depok Pembicara : Prof. Yves Lepage (Waseda University, JAPAN) Topik : Recent Research Topics in The EBMT/NLP lab at IPS Informasi selengkapnya dapat mengunduh POSTER Apabila ada yang berminat, silahkan mendaftarkan diri dengan email ke humasfasilkom@cs.ui.ac.id dengan perihal email: Seminar 29 Agustus 2016
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There are several factors that affect the performance of tracking algorithm. Those several factors include robust and speed. Thus, Alexander Agung Santoso Gunawan in his dissertation titled “Pelacakan Visual Cepat dan Optimal Berdasarkan Metode Spektral dalam Kerangka Bayesian” proposed a new tracking algorithm in relation to probabilistic Bayesian Framework. This algorithm proposed will be developed in order to efficiently solve optimal particle filter (OPF) by using a spectral method or...
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