670 search results - page 29 / 134 » Intractability and clustering with constraints |
ICCAD
2003
IEEE
15 years 6 months ago
2003
IEEE
Heuristics are widely used for solving computational intractable synthesis problems. However, until now, there has been limited effort to systematically develop heuristics that ca...
AAAI
1992
14 years 11 months ago
1992
models require the identi cation of abstractions and approximations that are well suited to the task at hand. In this paper we analyze the problem of automatically selecting adequ...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a novel framework for constrained spectral
clustering with pairwise constraints which specify whether
two objects belong to the same cluster or not. Unlike previous
m...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
FLAIRS
2004
14 years 11 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...