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PRL
2008
181views more  PRL 2008»
15 years 6 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
PSYCHNOLOGY
2006
102views more  PSYCHNOLOGY 2006»
15 years 6 months ago
Radiology Informatics and Work Flow Redesign
The transformation from film-based to filmless operations has become more and more challenging as medical imaging studies expand in size and complexity. To adapt to these changes ...
Guido Vaccari, Carlo Saccavini
IJON
2007
99views more  IJON 2007»
15 years 6 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliï...
Anna Levina, Udo Ernst, J. Michael Herrmann
TEC
2008
98views more  TEC 2008»
15 years 6 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
COLING
2002
15 years 6 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...