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IJCAI
2003
13 years 9 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
ICCAD
2005
IEEE
90views Hardware» more  ICCAD 2005»
14 years 5 months ago
Scalable compositional minimization via static analysis
State-equivalence based reduction techniques, e.g. bisimulation minimization, can be used to reduce a state transition system to facilitate subsequent verification tasks. However...
Fadi A. Zaraket, Jason Baumgartner, Adnan Aziz
SIGIR
2006
ACM
14 years 2 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 10 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
ICCV
2009
IEEE
13 years 6 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding