Human action recognition using slow feature analysis /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2016.
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/6774/ |
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LEADER | 01316cam a2200337 i 4500 | ||
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001 | u1043273 | ||
003 | SIRSI | ||
005 | 201611011018 | ||
008 | 161110s2016 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a QA76 |b UMP 2016 You | ||
100 | 1 | |a Yousefi, Bardia, |e author. | |
245 | 1 | 0 | |a Human action recognition using slow feature analysis / |c Bardia Yousefi. |
264 | 1 | |c 2016. | |
264 | 4 | |c 2016. | |
300 | |a xxiv , 141 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
502 | |b Ph.D. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2016. | ||
504 | |a Bibliography: leaves 126-141. | ||
650 | 0 | |a Computational neuroscience. | |
650 | 0 | |a Brain |x Magnetic resonance imaging. | |
650 | 0 | |a Cognitive neuroscience. | |
650 | 0 | |a Human activity recognition. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/6774/ |
900 | |a NSR NSM | ||
596 | |a 1 25 | ||
999 | |a QA76 UMP 2016 YOU |w LC |c 1 |i A516570644 |l STACKS |m P25UMARCHI |r Y |s Y |t CD |u 15/12/2016 |1 STEM | ||
999 | |a QA76 UMP 2016 YOU |w LC |c 1 |i A516173855 |d 10/4/2017 |f 10/4/2017 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 4/4/2017 |1 STEM |