60 search results - page 8 / 12 » Continuous nonlinear dimensionality reduction by kernel Eige... |
COMPGEOM
2009
ACM
14 years 2 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
GPB
2010
13 years 4 months ago
2010
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
NIPS
2007
13 years 9 months ago
2007
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...