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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
ICCV
2005
IEEE
14 years 9 months ago
When Does a Camera See Rain?
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, s...
Kshitiz Garg, Shree K. Nayar
ICWS
2009
IEEE
14 years 4 months ago
Service Supervision: Coordinating Web Services in Open Environment
ite Web service designed based on abstract Web services, which define only interfaces, allows an application developer to select services required for his application only by set...
Masahiro Tanaka, Toru Ishida, Yohei Murakami, Sato...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ISSTA
2009
ACM
14 years 1 months ago
AVA: automated interpretation of dynamically detected anomalies
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
Anton Babenko, Leonardo Mariani, Fabrizio Pastore