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NIPS
2004
15 years 8 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
CPHYSICS
2011
200views Education» more  CPHYSICS 2011»
15 years 1 months ago
Adaptable Particle-in-Cell algorithms for graphical processing units
We developed new parameterized Particle-in-Cell algorithms and data structures for emerging multi-core and many-core architectures. Four parameters allow tuning of this PIC code t...
Viktor K. Decyk, Tajendra V. Singh
COST
2010
Springer
157views Multimedia» more  COST 2010»
15 years 1 months ago
Adaptation in Turn-Initiations
This study investigates the variability in the temporal alignment of turn initiations and its relationship to the entrainment and power structure between the interlocutors. The dat...
Stefan Benus
INTERSPEECH
2010
15 years 1 months ago
Prosodic timing analysis for articulatory re-synthesis using a bank of resonators with an adaptive oscillator
A method for the analysis of prosodic-level temporal structure is introduced. The method is based on measured phase angles of an oscillator as that oscillator is made to synchroni...
Michael C. Brady
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive harmonic time-frequency decomposition of audio using shift-invariant PLCA
This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-...
Benoit Fuentes, Roland Badeau, Gaël Richard