34 search results - page 5 / 7 » Learning the Kernel Matrix with Low-Rank Multiplicative Shap... |
CVPR
2008
IEEE
14 years 29 days ago
2008
IEEE
Spatial pyramid matching (SPM) is a simple yet effective approach to compute similarity between images. Similarity kernels at different regions and scales are usually fused by som...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
AAAI
2008
13 years 8 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...