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» Analysis of the variability of joint input-output estimation...
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ICANN
2001
Springer
13 years 12 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
CSDA
2006
98views more  CSDA 2006»
13 years 7 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ICPR
2008
IEEE
14 years 8 months ago
Background variability modeling for statistical layout analysis
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...
SIGMETRICS
2000
ACM
111views Hardware» more  SIGMETRICS 2000»
13 years 7 months ago
AMVA techniques for high service time variability
Motivated by experience gained during the validation of a recent Approximate Mean Value Analysis (AMVA) model of modern shared memory architectures, this paper re-examines the &qu...
Derek L. Eager, Daniel J. Sorin, Mary K. Vernon