Geodesic flow kernel for unsupervised domain adaptation

In real-world applications of visual recognition, many factors - such as pose, illumination, or image quality - can cause a significant mismatch between the source domain on which classifiers are trained and the target domain to which those classifiers are applied. As such, the classifiers often per...

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Veröffentlicht in:	2012 IEEE Conference on Computer Vision and Pattern Recognition S. 2066 - 2073
Hauptverfasser:	Boqing Gong, Yuan Shi, Fei Sha, Grauman, K.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2012
Schlagworte:	Kernel Manifolds Measurement Principal component analysis Training Vectors Visualization
ISBN:	9781467312264, 1467312266
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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