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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 11 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
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 11 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
EUROPAR
2009
Springer
15 years 5 months ago
A Case Study of Communication Optimizations on 3D Mesh Interconnects
Optimal network performance is critical to efficient parallel scaling for communication-bound applications on large machines. With wormhole routing, no-load latencies do not increa...
Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kal&ea...
OOPSLA
2007
Springer
15 years 5 months ago
IAnticorruption: a domain-driven design approach to more robust integration
Custom House's new currency exchange system is integrated with a legacy system. After a few years of growth, the two systems were so intricately tangled that even small chang...
Sam Peng, Ying Hu
MM
2004
ACM
86views Multimedia» more  MM 2004»
15 years 4 months ago
Efficient propagation for face annotation in family albums
In this paper, we propose and investigate a new user scenario for face annotation, in which users are allowed to multi-select a group of photographs and assign names to these phot...
Lei Zhang, Yuxiao Hu, Mingjing Li, Wei-Ying Ma, Ho...