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» A dependence maximization view of clustering
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EMMCVPR
2003
Springer
15 years 2 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
83
Voted
SCCC
2005
IEEE
15 years 3 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
ICDT
2009
ACM
150views Database» more  ICDT 2009»
15 years 10 months ago
Optimizing user views for workflows
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
Olivier Biton, Susan B. Davidson, Sanjeev Khanna, ...
SERP
2008
14 years 11 months ago
Mapping Data-Flow Dependencies onto Distributed Embedded Systems
Model-driven development (MDD) is an emerging paradigm and has become state-of-the-art for embedded systems software design. In the overall design process, several steps have to be...
Stefan Kugele, Wolfgang Haberl
ICCV
1999
IEEE
15 years 11 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss