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EMNLP
2009
13 years 7 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
IEAAIE
2011
Springer
13 years 1 months ago
Multiple Source Phoneme Recognition Aided by Articulatory Features
This paper presents an experiment in speech recognition whereby multiple phoneme recognisers are applied to the same utterance. When these recognisers agree on an hypothesis for th...
Mark Kane, Julie Carson-Berndsen
ICASSP
2010
IEEE
13 years 8 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
PR
2007
82views more  PR 2007»
13 years 9 months ago
Extracting image orientation feature by using integration operator
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...
Xudong Jiang
MM
2010
ACM
115views Multimedia» more  MM 2010»
13 years 8 months ago
Interactive learning of heterogeneous visual concepts with local features
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...
Wajih Ouertani, Michel Crucianu, Nozha Boujemaa