Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signal. An auditoryinspired peripheral signal processing model is proposed that func...
Ramdas Kumaresan, Vijay Kumar Peddinti, Peter Cari...
A distribution model for the new generation of component languages, which allows to plug required into provided interfaces, is presented together with the distributed component la...
Hans Albrecht Schmid, Marco Pfeifer, Thorsten Schn...
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...