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AAAI
1994
13 years 9 months ago
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
Michael Lindenbaum, Shai Ben-David
ICPR
2008
IEEE
14 years 9 months ago
An empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition tasks
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
José Miguel Buenaposada, Li He, Luis Baumel...
SADM
2011
13 years 2 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
AUTOMATICA
2010
110views more  AUTOMATICA 2010»
13 years 8 months ago
Moving-horizon partition-based state estimation of large-scale systems
This paper presents three novel Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-over...
Marcello Farina, Giancarlo Ferrari-Trecate, Riccar...
CEC
2005
IEEE
14 years 1 months ago
The fitness map scheme: application to interactive multifractal image denoising
AbstractInteractive evolutionary algorithms (IEA) often suffer from what is called the “user bottleneck.” In this paper, we propose and analyse a method to limit the user inter...
Evelyne Lutton, Mario Pilz, Jacques Lévy V&...