| Pengarang |
| S. Pankanti, L. Brown, J. Connel, A. Datta, Q. Fan, R. Feris, N. Haas, N. Ratha; |
| Judul Artikel |
| Vision-based integrated systems for intelligent data analysis, hal. 13-17 |
| Nama Prosiding |
| 2012 International conference on advanced computer science and information systems (ICACSIS 2012) Depok, December 1st and 2nd 2012 Crystal of knowledge building Universitas Indonesia |
| Bahasa |
| eng |
| Abstrak Indonesia |
|
| Abstrak English |
| It is becoming increasing clear that it is humanly impossible to analyze a deluge of data from cameras and other sensors in a variety of applications including surveillance, railroad inspection, driver as sistance. The practical systems that we built, although in pursuit of different business objectives, share a common goal, which is to intelligenthy and efficiently analyze and extract the most important actionable information from an overwhelming amount of data, while being able to effectively ignore a large portions of uneventful and/or noisy data. This presentation will focus on computer vision, machine learning and system optimization techniques that we used to successfully address different technical and business challeges, and to deliver differentiating performance to meet our customers expectations |
| Kata Kunci |
|
| Tahun |
| 2012 |
| No. Panggil |
| SEM 304 |