37 search results - page 1 / 8 » Parametric Kernels for Sequence Data Analysis |
IJCAI
2007
13 years 6 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
ISBI
2006
IEEE
14 years 5 months ago
2006
IEEE
In brain imaging, cortical data such as the cortical thickness, cortical surface curvatures and surface coordinates have been mapped to a unit sphere for the purpose of visualizat...
AAAI
2006
13 years 6 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
ROBOTICA
2008
13 years 4 months ago
2008
Polyhedral scene analysis studies whether a 2D line drawing of a 3D polyhedron is realizable in the space, and if so, parameterizing the space of all possible realizations. For gen...
AAAI
2007
13 years 7 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...