879 search results - page 120 / 176 » Forecasting high-dimensional data |
199
click to vote
ICIP
2007
IEEE
16 years 7 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...
133
click to vote
ICPR
2006
IEEE
16 years 7 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...
161
click to vote
IPMI
2005
Springer
16 years 6 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...
149
click to vote
ICML
2004
IEEE
16 years 6 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 ...
170
click to vote
SDM
2009
SIAM
16 years 3 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...