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131
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JMLR
2010
115views more  JMLR 2010»
14 years 7 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
SAC
2010
ACM
14 years 7 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
SIAMREV
2010
170views more  SIAMREV 2010»
14 years 7 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
181
Voted
TAOSD
2010
14 years 7 months ago
Aspect-Oriented Design with Reusable Aspect Models
The idea behind Aspect-Oriented Modeling (AOM) is to apply aspect-oriented techniques to (software) models with the aim of modularizing crosscutting concerns. This can be done with...
Jörg Kienzle, Wisam Al Abed, Franck Fleurey, ...
139
Voted
TASLP
2010
134views more  TASLP 2010»
14 years 7 months ago
Autoregressive Models of Amplitude Modulations in Audio Compression
We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-ter...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...
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