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CSDA
2006
304views more  CSDA 2006»
14 years 9 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
ICA
2007
Springer
15 years 1 months ago
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
Nima Noorshams, Massoud Babaie-Zadeh, Christian Ju...
PSIVT
2007
Springer
129views Multimedia» more  PSIVT 2007»
15 years 4 months ago
Multi-target Tracking with Poisson Processes Observations
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
Sergio Hernández, Paul Teal
BC
1998
96views more  BC 1998»
14 years 9 months ago
Evidence of phase transitions in heart period dynamics
Complexity measures of non-linear dynamics are a useful tool for quantifying observed stretching, folding, scaling and mixing processes in the Takens-reconstructed state space of h...
Henrik Bettermann, Peter Van Leeuwen
CSCWD
2006
Springer
15 years 1 months ago
Quantitative Evaluation of Workspace Collaboration
In this paper we propose an analytical approach based on models of human performance to evaluate workspace collaboration. Our results indicate that the approach: 1) facilitates th...
Antonio Ferreira, Pedro Antunes