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ICCBR
2009
Springer
13 years 9 months ago
A Scalable Noise Reduction Technique for Large Case-Based Systems
Nicola Segata, Enrico Blanzieri, Padraig Cunningha...
EWCBR
2004
Springer
13 years 10 months ago
An Analysis of Case-Base Editing in a Spam Filtering System
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...
Sarah Jane Delany, Padraig Cunningham
ICASSP
2007
IEEE
13 years 11 months ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
DAC
2004
ACM
14 years 5 months ago
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits
Circuits using nano-meter technologies are becoming increasingly vulnerable to signal interference from multiple noise sources as well as radiation-induced soft errors. One way to...
Chong Zhao, Xiaoliang Bai, Sujit Dey
DATE
2008
IEEE
137views Hardware» more  DATE 2008»
13 years 11 months ago
SPARE - a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction
In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
Jorge Fernandez Villena, Luis Miguel Silveira