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» Clustering performance data efficiently at massive scales
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ICCV
2009
IEEE
16 years 5 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
CSREAESA
2006
15 years 2 months ago
An Efficient Design of High Speed Network Security Platform using Network Processor
: The explosive growth of internet traffic and the increasing complexity of the functions performed by network nodes have given rise to a new breed of programmable micro-processors...
Yong-Sung Jeon, Sang-Woo Lee, Ki-Young Kim
116
Voted
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 1 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
92
Voted
PDP
2002
IEEE
15 years 5 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 24 days ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...