1427 search results - page 5 / 286 » Kernels for Semi-Structured Data |
177
click to vote
JMLR
2010
15 years 18 days ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
191
Voted
ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
155
Voted
BCI
2009
IEEE
16 years 19 days ago
2009
IEEE
—Efficient management of massive data sets is a key aspect in typical grid and e-science applications. To this end, the benefits of employing database technologies in such appl...
186
Voted
GIR
2006
ACM
15 years 11 months ago
2006
ACM
Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-unit...
170
Voted
TIP
2011
15 years 22 days ago
2011
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...