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167
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
189
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FTDCS
1997
IEEE
15 years 10 months ago
1997
IEEE
: This paper discusses the issues and promising approaches in (1) obtaining rigorous specifications of the quality-of-service (QoS) requirements associated with application functio...
184
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
179
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TIP
2010
15 years 1 months ago
2010
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
188
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CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian r e e ctanc ...