396 search results - page 72 / 80 » Lossy Reduction for Very High Dimensional Data |
ECIR
2004
Springer
14 years 11 months ago
2004
Springer
We simulate different architectures of a distributed Information Retrieval system on a very large Web collection, in order to work out the optimal setting for a particular set of r...
TFCV
1994
14 years 10 months ago
1994
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
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...
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...