70 search results - page 5 / 14 » Multiplicative Mixture Models for Overlapping Clustering |
98
Voted
KDD
2010
ACM
15 years 3 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
138
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
128
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VISAPP
2007
15 years 22 days ago
2007
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
103
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ICML
2008
IEEE
16 years 12 days ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
UAI
2000
15 years 28 days ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...