227 search results - page 36 / 46 » Fitting a graph to vector data |
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
71
Voted
CIDM
2007
IEEE
15 years 2 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
117
Voted
JMLR
2006
14 years 10 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
GRAPHITE
2005
ACM
15 years 3 months ago
2005
ACM
We present a novel method to create perpetual animations from a small set of given keyframes. Existing approaches either are limited to re-sequencing large amounts of existing ima...