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» A Novel Framework for Discovering Robust Cluster Results
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BMCBI
2008
85views more  BMCBI 2008»
13 years 7 months ago
Normalizing biomedical terms by minimizing ambiguity and variability
Background: One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential varia...
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiado...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 1 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
ICASSP
2010
IEEE
13 years 7 months ago
An adaptive initialization method for speaker Diarization based on prosodic features
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
David Imseng, Gerald Friedland
ICIP
2007
IEEE
14 years 9 months ago
Mining Auxiliary Objects for Tracking by Multibody Grouping
On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong verification and compu...
Ming Yang, Ying Wu, Shihong Lao
SSDBM
2007
IEEE
105views Database» more  SSDBM 2007»
14 years 1 months ago
Window-Oblivious Join: A Data-Driven Memory Management Scheme for Stream Join
Memory management is a critical issue in stream processing involving stateful operators such as join. Traditionally, the memory requirement for a stream join is query-driven: a qu...
Ji Wu, Kian-Lee Tan, Yongluan Zhou