| LDR | | 02128nmm uu200445 4500 |
| 001 | | 000000332872 |
| 005 | | 20240805171740 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438237469 |
| 035 | |
▼a (MiAaPQ)AAI10808984 |
| 035 | |
▼a (MiAaPQ)coe.neu:10977 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Gou, Mengran. |
| 245 | 14 |
▼a The Empirical Moment Matrix and Its Application in Computer Vision. |
| 260 | |
▼a [S.l.] :
▼b Northeastern University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 84 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Octavia I. Camps. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Northeastern University, 2018. |
| 520 | |
▼a Embedding local properties of an image, for instance its color intensities or the magnitude and orientation of its gradients, to create a representative feature is a critical component in many computer vision tasks, such as detection, classifica |
| 520 | |
▼a Person re-ID is the problem of matching images of a pedestrian across cameras with no overlapping fields of view. It is one of the key tasks in surveillance video processing. Yet, due to the extremely large inter-class variances across different |
| 520 | |
▼a Different from general objection recognition tasks, fine-grained classification usually tries to distinguish objects at the sub-category level, such as different makes of cars or different species of a bird. The main challenge of this task is th |
| 590 | |
▼a School code: 0160. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Computer engineering. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0464 |
| 710 | 20 |
▼a Northeastern University.
▼b Electrical and Computer Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0160 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997848
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |