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» Geodesic flow kernel for unsupervised domain adaptation
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CVPR
2012
IEEE
11 years 7 months ago
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 whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
ICCV
2011
IEEE
12 years 4 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
13 years 11 months ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...