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PODC
2010
ACM
15 years 3 months ago
Brief announcement: complexity and solution of the send-receive correlation problem
During the analysis of packet log files from network experiments, the question arises which received packet belongs to which of the potentially many binary identical send events....
Benito van der Zander, Egon Wanke, Wolfgang Kie&sz...
BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
PAMI
1998
76views more  PAMI 1998»
14 years 11 months ago
Segmenting Images Corrupted by Correlated Noise
—Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The main contribution o...
Thomas C. M. Lee
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 6 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
ICANN
2003
Springer
15 years 5 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho