587 search results - page 70 / 118 » Learning with Globally Predictive Tests |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
108
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
100
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JMLR
2010
14 years 8 months ago
2010
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...