454 search results - page 8 / 91 » On the approximation error in high dimensional model represe... |
NIPS
2008
13 years 8 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
TKDE
2011
13 years 2 months ago
2011
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
EURONGI
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. This paper proposes an approximate methodology for solving Markov models that compete for limited resources and retry when access fails, like those arising in mobile cell...
ADC
2003
Springer
14 years 18 days ago
2003
Springer
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
ITC
2003
IEEE
14 years 19 days ago
2003
IEEE
Test model generation is crucial in the test generation process of a high-performance design targeted for large volume production. A key process in test model generation requires ...