Sciweavers

281 search results - page 8 / 57
» Independent factor discriminant analysis
Sort
View
UAI
2004
13 years 11 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
CGF
2008
111views more  CGF 2008»
13 years 10 months ago
An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting
Interactive rendering with dynamic natural lighting and changing view is a long-standing goal in computer graphics. Recently, precomputation-based methods for all-frequency religh...
Dhruv Mahajan, Yu-Ting Tseng, Ravi Ramamoorthi
IDA
2009
Springer
14 years 4 months ago
Canonical Dual Approach to Binary Factor Analysis
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
ICASSP
2010
IEEE
13 years 10 months ago
Across-phone variability and diagonal term in joint factor analysis for speaker recognition
We investigate usefulness of across-phone variability for speaker recognition in a joint factor analysis (JFA) framework. We estimate the variability as across-phone covariance wi...
Sachin S. Kajarekar
IBPRIA
2003
Springer
14 years 3 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...