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» On the modularity of feature interactions
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ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 3 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
SIAMREV
2010
170views more  SIAMREV 2010»
13 years 3 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
TIT
2010
97views Education» more  TIT 2010»
13 years 3 months ago
Periodic orbits and equilibria in glass models for gene regulatory networks
Abstract--Glass models are frequently used to model gene regulatory networks. A distinct feature of the Glass model is that its dynamics can be formalized as paths through multi-di...
Igor Zinovik, Yury Chebiryak, Daniel Kroening
ICASSP
2011
IEEE
13 years 18 days ago
Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?
Most HMM-based TTS systems use a hard voiced/unvoiced classification to produce a discontinuous F0 signal which is used for the generation of the source-excitation. When a mixed ...
Javier Latorre, Mark J. F. Gales, Sabine Buchholz,...
ICASSP
2011
IEEE
13 years 18 days ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier