879 search results - page 134 / 176 » Forecasting high-dimensional data |
UAI
2008
14 years 11 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
71
Voted
GRAPHICSINTERFACE
2003
14 years 11 months ago
2003
The high dimensionality of the BRDF makes it difficult to use measured data for hardware rendering. Common solutions to overcome this problem include expressing a BRDF as a sum o...
IIS
2003
14 years 11 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
SODA
2000
ACM
14 years 11 months ago
2000
ACM
In this paper we give approximation algorithms for several proximity problems in high dimensional spaces. In particular, we give the rst Las Vegas data structure for (1 + )-neares...
68
Voted
CSDA
2006
14 years 9 months ago
2006
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...