1263 search results - page 29 / 253 » Kernel methods for learning languages |
GIR
2008
ACM
13 years 10 months ago
2008
ACM
There is a need for GIR systems to interpret the vague aspects of spatial language. Here we describe an initial approach towards evaluating crisp realisations of a field-based mo...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
ISBRA
2007
Springer
14 years 3 months ago
2007
Springer
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...