879 search results - page 101 / 176 » Forecasting high-dimensional data |
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
VLDB
2004
ACM
15 years 3 months ago
2004
ACM
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
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SIGMOD
2012
ACM
13 years 10 days ago
2012
ACM
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...