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FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
15 years 3 months ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
UAI
2004
15 years 1 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
IDA
2009
Springer
15 years 6 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
ISBI
2007
IEEE
15 years 6 months ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...
HPCA
1999
IEEE
15 years 4 months ago
A Study of Control Independence in Superscalar Processors
Control independence has been put forward as a significant new source of instruction-level parallelism for future generation processors. However, its performance potential under p...
Eric Rotenberg, Quinn Jacobson, James E. Smith