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CBMS
2006
IEEE
15 years 6 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...
110
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SAINT
2006
IEEE
15 years 6 months ago
Filtering Features for a Composite Event Definition Language
This research has enhanced a distributed, rule-based application integration environment with a composite event definition language (CEDL) and detection system. CEDL builds on exi...
Susan Darling Urban, Ingrid Biswas, Suzanne W. Die...
EMNLP
2008
15 years 2 months ago
Understanding the Value of Features for Coreference Resolution
In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic...
Eric Bengtson, Dan Roth
JMM
2007
109views more  JMM 2007»
15 years 21 days 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
ICASSP
2010
IEEE
14 years 11 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