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ICASSP
2010
IEEE
13 years 8 months ago
Large margin filtering for Signal Sequence Labeling
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Rémi Flamary, Benjamin Labbé, Alain ...
TIP
1998
102views more  TIP 1998»
13 years 7 months ago
Directional filtering in edge detection
— Two-dimensional (2-D) edge detection can be performed by applying a suitably selected optimal edge half-filter in n directions. Computationally, such a two-dimensional n-direc...
Andrew P. Paplinski
TIP
2010
108views more  TIP 2010»
13 years 6 months ago
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing
Abstract—In this paper, we introduce a reconstruction framework that explicitly accounts for image geometry when defining the spatial interaction between pixels in the filterin...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ISCAS
2003
IEEE
91views Hardware» more  ISCAS 2003»
14 years 1 months ago
SDP for multi-criterion QMF bank design
Quadraturemirror filter(QMF)bank with multi-criterion constraints suchas minimal aliasing and/or minimal error coding is amongthe most important problems in filter bank design, fo...
H. D. Tuan, L. H. Nam, H. Tuy, T. Q. Nguyen
CEAS
2006
Springer
13 years 11 months ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten