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» Using PageRank in Feature Selection
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125
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EMNLP
2009
15 years 10 days 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
102
Voted
INTERSPEECH
2010
14 years 9 months ago
The role of higher-level linguistic features in HMM-based speech synthesis
We analyse the contribution of higher-level elements of the linguistic specification of a data-driven speech synthesiser to the naturalness of the synthetic speech which it genera...
Oliver Watts, Junichi Yamagishi, Simon King
IEAAIE
2011
Springer
14 years 6 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
116
Voted
CBMS
2006
IEEE
15 years 8 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
122
Voted
JMM
2007
109views more  JMM 2007»
15 years 2 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner