21 search results - page 4 / 5 » Learning the Kernel Matrix with Semi-Definite Programming |
ICML
2009
IEEE
16 years 7 days ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
NIPS
2008
15 years 26 days ago
2008
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
PR
2007
14 years 11 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
NIPS
2004
15 years 25 days ago
2004
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...