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» Problem Structure in the Presence of Perturbations
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CORR
2006
Springer
144views Education» more  CORR 2006»
14 years 10 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
IGARSS
2009
14 years 7 months ago
Robust Endmember Extraction in the Presence of Anomalies
Most available methods for endmember extraction use the convexity of the data structure and consider the vertices of the data as the purest pixels. Such methods do not consider th...
Olga Duran, Maria Petrou
ICASSP
2011
IEEE
14 years 1 months ago
Array-based GNSS acquisition in the presence of colored noise
This paper investigates the application of the Generalized Likelihood Ratio Test detector to the Global Navigation Satellite System array-based acquisition problem. We consider an...
Javier Arribas, Carles Fernández-Prades, Pa...
NN
2007
Springer
15 years 4 months ago
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
Sonja Grün, Moshe Abeles, Markus Diesmann
CVPR
2005
IEEE
15 years 12 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade