Sciweavers

39 search results - page 6 / 8
» Maximum likelihood ICA of quaternion Gaussian vectors
Sort
View
IBPRIA
2003
Springer
13 years 11 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
IPMI
2003
Springer
14 years 6 months ago
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...
ICASSP
2010
IEEE
13 years 6 months ago
Utilizing principal singular vectors for two-dimensional single frequency estimation
In this paper, frequency estimation of a twodimensional (2D) cisoid in the presence of additive white Gaussian noise is addressed. By utilizing the rank-one property of the 2D noi...
H. C. So, Frankie K. W. Chan, C. F. Chan, W. H. La...
ICASSP
2011
IEEE
12 years 9 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
ICASSP
2009
IEEE
14 years 15 days ago
Optimal parameter estimation for model-based quantization
We address optimal model estimation for model-based vector quantization for both the constrained resolution (CR) and constrained entropy (CE) cases. To this purpose we derive unde...
Alexey Ozerov, W. Bastiaan Kleijn