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» Automatic Discovery of Feature Sets for Dependency Parsing
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ICCV
2007
IEEE
15 years 11 months ago
Spatial Random Partition for Common Visual Pattern Discovery
Automatically discovering common visual patterns from a collection of images is an interesting but yet challenging task, in part because it is computationally prohibiting. Althoug...
Junsong Yuan, Ying Wu
COLING
2008
14 years 11 months ago
The Effect of Syntactic Representation on Semantic Role Labeling
Almost all automatic semantic role labeling (SRL) systems rely on a preliminary parsing step that derives a syntactic structure from the sentence being analyzed. This makes the ch...
Richard Johansson, Pierre Nugues
83
Voted
RAID
1999
Springer
15 years 1 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
ICASSP
2011
IEEE
14 years 1 months ago
Classifying soundtracks with audio texture features
Sound textures may be defined as sounds whose character depends on statistical properties as much as the specific details of each individually-perceived event. Recent work has d...
Daniel P. W. Ellis, Xiaohong Zeng, Josh H. McDermo...
ENTCS
2007
109views more  ENTCS 2007»
14 years 9 months ago
Improving the Context-sensitive Dependency Graph
The dependency pairs method is one of the most powerful technique for proving termination of rewriting and it is currently central in most automatic termination provers. Recently,...
Beatriz Alarcón, Raúl Gutiérr...