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IJAR
2008
155views more  IJAR 2008»
14 years 9 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
81
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FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
15 years 2 months ago
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
ICSR
2004
Springer
15 years 3 months ago
Framed Aspects: Supporting Variability and Configurability for AOP
Aspect oriented programming (AOP) seeks to decompose concerns which crosscut system structure into more manageable modules. However, current AOP techniques alone lack the configura...
Neil Loughran, Awais Rashid
ASWEC
2006
IEEE
15 years 1 months ago
Requirements Capture and Specification for Enterprise Applications: a UML Based Attempt
We propose a software development method for enterprise applications that combines the use of the structural concepts provided by problem frames, and the use of the UML notation. ...
Christine Choppy, Gianna Reggio
FASE
2008
Springer
14 years 11 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt