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» Experiments on Graph Clustering Algorithms
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ICASSP
2011
IEEE
14 years 5 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
115
Voted
MICCAI
2008
Springer
16 years 3 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland
UAI
2008
15 years 3 months ago
Almost Optimal Intervention Sets for Causal Discovery
We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
Frederick Eberhardt
103
Voted
SKG
2006
IEEE
15 years 8 months ago
Service Search Strategy Based on Graph in Grid Environment
Service discovery is a key concept in a distributed Grid environment. The first step towards Grid implement is the discovery of services. In this paper, we build a new Grid servic...
Zilin Song, Weihua Ai, Yi Wang, Liang Wu
SCAM
2006
IEEE
15 years 8 months ago
Constructing Accurate Application Call Graphs For Java To Model Library Callbacks
Call graphs are widely used to represent calling relationships among methods. However, there is not much interest in calling relationships among library methods in many software e...
Weilei Zhang, Barbara G. Ryder