509 search results - page 2 / 102 » Localized multiple kernel learning |
PRIB
2009
Springer
13 years 11 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
TIP
2011
12 years 11 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
DAGM
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...