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» A Method for Dynamic Clustering of Data
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WCE
2007
15 years 5 months ago
A Dynamic Method for the Evaluation and Comparison of Imputation Techniques
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
Norman Solomon, Giles Oatley, Kenneth McGarry
131
Voted
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Interactive Clustering of Video Segments for Media Structuring
Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structu...
Yukihiro Kinoshita, Naoko Nitta, Noboru Babaguchi
142
Voted
IPPS
2000
IEEE
15 years 9 months ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
148
Voted
RIAO
2004
15 years 6 months ago
Mining Textual Data through Term Variant Clustering : the TermWatch system
We present a system for mapping the structure of research topics in a corpus. TermWatch portrays the "aboutness" of a corpus of scientific and technical publications by ...
Fidelia Ibekwe-Sanjuan, Eric SanJuan
137
Voted
VRST
2009
ACM
15 years 11 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia