Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment - researchr publication authors

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Fernando De la Torre, Minh Hoai Nguyen. Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24-26 June 2008, Anchorage, Alaska, USA. IEEE Computer Society, 2008. [doi]

This author has not been identified. Look up 'Fernando De la Torre' in GoogleThis author has not been identified. Look up 'Minh Hoai Nguyen' in Google

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