474 search results - page 38 / 95 » Approximation Algorithms for Tensor Clustering |
SBCCI
2003
ACM
14 years 1 months ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
AUSAI
2010
Springer
13 years 5 months ago
2010
Springer
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
CGF
1999
13 years 7 months ago
1999
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...