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ICASSP
2010
IEEE
15 years 6 months ago
Fast likelihood computation using hierarchical Gaussian shortlists
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
Xin Lei, Arindam Mandal, Jing Zheng
BMCBI
2004
96views more  BMCBI 2004»
15 years 6 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
WISE
2009
Springer
16 years 1 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
BTW
2005
Springer
80views Database» more  BTW 2005»
15 years 12 months ago
Measuring the Quality of Approximated Clusterings
Abstract. Clustering has become an increasingly important task in modern application domains. In many areas, e.g. when clustering complex objects, in distributed clustering, or whe...
Hans-Peter Kriegel, Martin Pfeifle
WEBI
2005
Springer
15 years 12 months ago
Standardized Evaluation Method for Web Clustering Results
Finding a set of web pages relevant to a user’s information goal is difficult due to the enormous size of the Internet. Search engines are able to find a set of pages that mat...
Daniel Crabtree, Xiaoying Gao, Peter Andreae