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ICASSP
2011
IEEE
12 years 11 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
ICDCS
2006
IEEE
14 years 1 months ago
Robust Accounting in Decentralized P2P Storage Systems
A peer-to-peer (P2P) storage system allows a network of peer computers to increase the availability of their data by replicating it on other peers in the network. In such networks...
Ivan Osipkov, Peng Wang, Nicholas Hopper
CTRSA
2004
Springer
106views Cryptology» more  CTRSA 2004»
13 years 11 months ago
Improving Robustness of PGP Keyrings by Conflict Detection
Abstract. Secure authentication frequently depends on the correct recognition of a user's public key. When there is no certificate authority, this key is obtained from other u...
Qinglin Jiang, Douglas S. Reeves, Peng Ning
RECOMB
2009
Springer
14 years 8 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...
IJSEKE
2000
111views more  IJSEKE 2000»
13 years 7 months ago
An Approach to Quantitative Software Architecture Sensitivity Analysis
Software architectures are often claimed to be robust. However, there is no explicit and concrete definition of software architecture robustness. This paper gives a definition of ...
Chung-Horng Lung, Kalai Kalaichelvan