319 search results - page 3 / 64 » Learning Nonlinear Manifolds from Time Series |
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
ICML
2004
IEEE
13 years 11 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
GRC
2008
IEEE
13 years 7 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
SDM
2004
SIAM
13 years 7 months ago
2004
SIAM
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...