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FGR
2004
IEEE
89views Biometrics» more  FGR 2004»
13 years 11 months ago
Subspace Analysis and Optimization for AAM Based Face Alignment
1 Active Appearance Models (AAM) is very powerful for extracting objects, e.g. faces, from images. It is composed of two parts: the AAM subspace model and the AAM search. While th...
Ming Zhao 0003, Chun Chen, Stan Z. Li, Jiajun Bu
AUTOMATICA
2006
109views more  AUTOMATICA 2006»
13 years 7 months ago
Closed-loop subspace identification using the parity space
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
Jin Wang, S. Joe Qin
COMSIS
2006
156views more  COMSIS 2006»
13 years 7 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...
TNN
1998
111views more  TNN 1998»
13 years 7 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ICML
2010
IEEE
13 years 8 months ago
A Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
Thomas Deselaers, Vittorio Ferrari