1427 search results - page 54 / 286 » Kernels for Semi-Structured Data |
ESANN
2006
13 years 9 months ago
2006
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
WSCG
2004
13 years 9 months ago
2004
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
PAMI
2010
13 years 6 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...