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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 10 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
HPCA
2005
IEEE
14 years 10 months ago
SENSS: Security Enhancement to Symmetric Shared Memory Multiprocessors
With the increasing concern of the security on high performance multiprocessor enterprise servers, more and more effort is being invested into defending against various kinds of a...
Youtao Zhang, Lan Gao, Jun Yang 0002, Xiangyu Zhan...
ICSE
2007
IEEE-ACM
14 years 10 months ago
A Future for Software Engineering?
This paper suggests the need for a software engineering research community conversation about the future that the community would like to have. The paper observes that the researc...
Leon J. Osterweil
MOBIHOC
2006
ACM
14 years 9 months ago
Performance analysis of mobility-assisted routing
Traditionally, ad hoc networks have been viewed as a connected graph over which end-to-end routing paths had to be established. Mobility was considered a necessary evil that inval...
Thrasyvoulos Spyropoulos, Konstantinos Psounis, Ca...