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...
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...
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...
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...
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-...