Sciweavers

2190 search results - page 84 / 438
» Mixtures of Gaussian Processes
Sort
View
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
15 years 10 months ago
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
— This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instant...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye
ESANN
2004
15 years 5 months ago
Flexible and Robust Bayesian Classification by Finite Mixture Models
Abstract. The regularized Mahalanobis distance is proposed in the framework of finite mixture models to avoid commonly faced numerical difficulties encountered with EM. Its princip...
Cédric Archambeau, Frédéric V...
ICML
2009
IEEE
16 years 5 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
NOLISP
2007
Springer
15 years 10 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
FPGA
2009
ACM
233views FPGA» more  FPGA 2009»
15 years 11 months ago
FPCNA: a field programmable carbon nanotube array
Carbon nanotubes (CNTs), with their unique electronic properties, are promising materials for building nanoscale circuits. In this paper, we present a new CNT-based FPGA architect...
Chen Dong, Scott Chilstedt, Deming Chen