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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 7 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
TVCG
2012
162views Hardware» more  TVCG 2012»
13 years 9 months ago
A Statistical Quality Model for Data-Driven Speech Animation
—In recent years, data-driven speech animation approaches have achieved significant successes in terms of animation quality. However, how to automatically evaluate the realism o...
Xiaohan Ma, Zhigang Deng
ISMB
1996
15 years 8 months ago
Improving the Quality of Automatic DNA Sequence Assembly Using Fluorescent Trace-Data Classifications
Virtually all large-scale sequencing projects use automatic sequence-assembly programs to aid in the determination of DNA sequences. The computer-generated assemblies require subs...
Carolyn F. Allex, Schuyler F. Baldwin, Jude W. Sha...
FEGC
2006
92views Biometrics» more  FEGC 2006»
15 years 8 months ago
Maintaining an Online Bibliographical Database: The Problem of Data Quality
CiteSeer and Google-Scholar are huge digital libraries which provide access to (computer-)science publications. Both collections are operated like specialized search engines, they ...
Michael Ley, Patrick Reuther
VLDB
2004
ACM
152views Database» more  VLDB 2004»
16 years 7 months ago
Balancing energy efficiency and quality of aggregate data in sensor networks
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas related to further reducing energy co...
Mohamed A. Sharaf, Jonathan Beaver, Alexandros Lab...