879 search results - page 120 / 176 » Forecasting high-dimensional data |
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ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
There are different approaches to pose estimation and registration of different body parts using voxel data. We propose a general bottom-up approach in order to segment the voxels...
IPMI
2005
Springer
15 years 10 months ago
2005
Springer
We present a method for segmenting white matter tracts from high angular resolution diffusion MR images by representing the data in a 5 dimensional space of position and orientatio...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...