881 search results - page 57 / 177 » Spectral Algorithms for Supervised Learning |
114
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TIP
2010
14 years 4 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
109
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PSIVT
2009
Springer
15 years 4 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
MICCAI
2009
Springer
15 years 11 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...