A transductive transfer learning approach for image classification

Author:

Rezaei Samaneh,Tahmoresnezhad JafarORCID,Solouk Vahid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference43 articles.

1. Gammerman A, Vovk V, Vapnik V (1998) Learning by transduction. In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence, UAI’98, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc, pp 148–155

2. Tangirala K. Stanescu, A. Caragea D (2016) Study of transductive learning and unsupervised feature construction methods for biological sequence classification. In: 2016 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM), pp 999–1006, IEEE

3. Wang J, Ding G, Pan SJ, Long M, Philip SY (2014) Adaptation regularization: a general framework for transfer learning. IEEE Trans Knowl Data Eng 26(5):1076–1089

4. Bruzzone L, Marconcini M (2009) Domain adaptation problems: a dasvm classification technique and a circular validation strategy. IEEE Trans Pattern Anal Mach Intell 32(5):770–787

5. Gong Grauman K, Sha BF (2013) Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation. Int Conf Mach Learn 28(1):222–230

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