Tommasi T., Caputo B., ''Frustratingly easy NBNN domain adaptation'', Proceedings 14th international conference on computer vision - ICCV 2013, pp. 897-904, December 3-6, 2013, Sydney, Australia.status: publishe
Fernando B., Tommasi T., Tuytelaars T., ''Joint cross-domain classification and subspace learning fo...
For unsupervised domain adaptation, the process of learning domain-invariant representations could b...
Contains fulltext : 178607.pdf (preprint version ) (Open Access) ...
Over the last years, several authors have signaled that state of the art categorization methods fail...
Raj A., Namboodiri V.P., Tuytelaars T., ''Subspace alignment based domain adaptation for RCNN detect...
Tuytelaars T., Fritz M., Saenko K., Darrell T., ''The NBNN kernel'', 13th international conference o...
Fernando B., Aljundi R., Emonet R., Habrard A., Sebban M., Tuytelaars T., ''Unsupervised domain adap...
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It ...
Proceedings of the 26th International Conference On Machine Learning, ICML 2009289-29
We present novel models for domain adap-tation based on the neural network joint model (NNJM). Our m...
With the fast growth of the amount of digitalized texts in recent years, text information management...
This paper reports on experiments of porting the ITC-irst Italian broadcast news (BN) recognition sy...
This paper describes the first edition of the Domain Adaptation Task at ImageCLEF 2014. Domain adapt...
Together with the development of deep neural networks, artificial intelligence is getting unpreceden...
Contains fulltext : 209251.pdf (Publisher’s version ) (Open Access)IJCNN 2019: Int...
Fernando B., Tommasi T., Tuytelaars T., ''Joint cross-domain classification and subspace learning fo...
For unsupervised domain adaptation, the process of learning domain-invariant representations could b...
Contains fulltext : 178607.pdf (preprint version ) (Open Access) ...
Over the last years, several authors have signaled that state of the art categorization methods fail...
Raj A., Namboodiri V.P., Tuytelaars T., ''Subspace alignment based domain adaptation for RCNN detect...
Tuytelaars T., Fritz M., Saenko K., Darrell T., ''The NBNN kernel'', 13th international conference o...
Fernando B., Aljundi R., Emonet R., Habrard A., Sebban M., Tuytelaars T., ''Unsupervised domain adap...
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It ...
Proceedings of the 26th International Conference On Machine Learning, ICML 2009289-29
We present novel models for domain adap-tation based on the neural network joint model (NNJM). Our m...
With the fast growth of the amount of digitalized texts in recent years, text information management...
This paper reports on experiments of porting the ITC-irst Italian broadcast news (BN) recognition sy...
This paper describes the first edition of the Domain Adaptation Task at ImageCLEF 2014. Domain adapt...
Together with the development of deep neural networks, artificial intelligence is getting unpreceden...
Contains fulltext : 209251.pdf (Publisher’s version ) (Open Access)IJCNN 2019: Int...
Fernando B., Tommasi T., Tuytelaars T., ''Joint cross-domain classification and subspace learning fo...
For unsupervised domain adaptation, the process of learning domain-invariant representations could b...
Contains fulltext : 178607.pdf (preprint version ) (Open Access) ...
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