113 search results - page 16 / 23 » Structural Machine Learning with Galois Lattice and Graphs |
GBRPR
2007
Springer
15 years 1 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
81
Voted
ISBRA
2007
Springer
15 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...
CIDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
102
Voted
ML
2010
ACM
14 years 4 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...