95 search results - page 5 / 19 » A Bayesian Local Linear Wavelet Neural Network |
NIPS
2003
13 years 8 months ago
2003
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
14 years 25 days ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
DCC
2010
IEEE
13 years 6 months ago
2010
IEEE
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...