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CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
15 years 6 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
ECCV
2002
Springer
16 years 4 months ago
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
Abstract This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single i...
Sami Romdhani, Volker Blanz, Thomas Vetter
160
Voted
EMNLP
2011
14 years 2 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
112
Voted
ALT
2003
Springer
15 years 11 months ago
Intrinsic Complexity of Uniform Learning
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
Sandra Zilles
106
Voted
DAC
1998
ACM
16 years 3 months ago
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability
Abstract-Our strategy for automatic generation of functional vectors is based on exercising selected paths in the given hardware description language (HDL) model. The HDL model des...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer