An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2020.
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14493/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01473nam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | u1158290 | ||
| 003 | SIRSI | ||
| 005 | 202204061418 | ||
| 008 | 220406s2020 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 090 | |a QA76 |b UM 2020 Dar | ||
| 100 | 1 | |a Darugar, Mohammad Javidan, |e author. | |
| 245 | 1 | 3 | |a An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine / |c Mohammad Javidan Darugar. |
| 264 | 1 | |c 2020. | |
| 300 | |a xvi, 96 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b M.Comp.Sc. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2020. | ||
| 504 | |a Bibliography: leaves 89-95 | ||
| 530 | |a Also issued CD. | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14493/ |
| 900 | |a US | ||
| 596 | |a 1 25 | ||
| 999 | |a QA76 UM 2020 DAR |w LC |c 1 |i A517629536 |f 25/1/2023 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 3/10/2022 |1 STEM | ||
| 999 | |a QA76 UM 2020 DAR |w LC |c 1 |i A517629522 |f 23/2/2023 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 23/2/2023 |1 STEM |o .STAFF. MST-CD2306 | ||