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» Measuring the Quality of Approximated Clusterings
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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...
WWW
2011
ACM
14 years 8 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
VISUALIZATION
2002
IEEE
15 years 6 months ago
Efficient Simplification of Point-Sampled Surfaces
In this paper we introduce, analyze and quantitatively compare a number of surface simplification methods for point-sampled geometry. We have implemented incremental and hierarchi...
Mark Pauly, Markus H. Gross, Leif Kobbelt
CIKM
2004
Springer
15 years 7 months ago
Approximating the top-m passages in a parallel question answering system
We examine the problem of retrieving the top-m ranked items from a large collection, randomly distributed across an n-node system. In order to retrieve the top m overall, we must ...
Charles L. A. Clarke, Egidio L. Terra
IMC
2009
ACM
15 years 8 months ago
Sampling biases in network path measurements and what to do about it
We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
Srikanth Kandula, Ratul Mahajan