| Paper ID | ARS-17.7 |
| Paper Title |
A GENERATIVE SELF-ENSEMBLE APPROACH TO SIMULATED+UNSUPERVISED LEARNING |
| Authors |
Yu Mitsuzumi, NTT / Kyoto University, Japan; Go Irie, Akisato Kimura, NTT, Japan; Atsushi Nakazawa, Kyoto University, Japan |
| Session |
ARS-17: Machine Learning for Recognition in Images and Videos I |
| Time | Wednesday, 28 October, 09:00 - 09:55 |
| Topic |
[ARS] Image & Video Analysis, Synthesis, and Retrieval: [MLR-APPL-R Machine Learning for Recognition in Images and Videos |
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