Learning kernels for unsupervised domain adaptation with applications to visual object recognition

DOI10.1007/s11263-014-0718-4zbMath1328.68240OpenAlexW2004273576MaRDI QIDQ903526

Boqing Gong, Kristen Grauman, Fei Sha

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-014-0718-4

zbMATH Keywords

kernelsobject recognitiondomain adaptationcross-dataset bias

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• ImageNet
• SURF
• Caltech-256
• PASCAL VOC
• LabelMe

Cites Work

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• Improving predictive inference under covariate shift by weighting the log-likelihood function
• A theory of learning from different domains

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