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» The Robustness of Level Sets
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ANLP
2000
114views more  ANLP 2000»
15 years 7 months ago
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen
DFG
2009
Springer
16 years 1 months ago
Group-Level Analysis and Visualization of Social Networks
Social network analysis investigates the structure of relations amongst social actors. A general approach to detect patterns of interaction and to filter out irregularities is to ...
Michael Baur, Ulrik Brandes, Jürgen Lerner, D...
CODES
2005
IEEE
16 years 4 days ago
Improving superword level parallelism support in modern compilers
Multimedia vector instruction sets are becoming ubiquitous in most of the embedded systems used for multimedia, networking and communications. However, current compiler technology...
Christian Tenllado, Luis Piñuel, Manuel Pri...
ESANN
2003
15 years 7 months ago
Robust Topology Representing Networks
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
Michaël Aupetit
BMCBI
2007
123views more  BMCBI 2007»
15 years 6 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...