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BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
ENTCS
2008
153views more  ENTCS 2008»
13 years 7 months ago
Efficient Conflict Detection in Graph Transformation Systems by Essential Critical Pairs
The well-known notion of critical pairs already allows a static conflict detection, which is important for all kinds of applications and already implemented in AGG. Unfortunately ...
Leen Lambers, Hartmut Ehrig, Fernando Orejas
IJDAR
2010
110views more  IJDAR 2010»
13 years 6 months ago
Locating and parsing bibliographic references in HTML medical articles
The set of references that typically appear toward the end of journal articles is sometimes, though not always, a field in bibliographic (citation) databases. But even if referenc...
Jie Zou, Daniel X. Le, George R. Thoma
ECCV
2006
Springer
14 years 9 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
MICRO
2008
IEEE
124views Hardware» more  MICRO 2008»
14 years 1 months ago
Token tenure: PATCHing token counting using directory-based cache coherence
Traditional coherence protocols present a set of difficult tradeoffs: the reliance of snoopy protocols on broadcast and ordered interconnects limits their scalability, while dire...
Arun Raghavan, Colin Blundell, Milo M. K. Martin