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» Approximate Structural Consistency
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TNN
1998
111views more  TNN 1998»
13 years 8 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
ECCV
2010
Springer
14 years 1 months ago
Practical Autocalibration
As it has been noted several times in literature, the difficult part of autocalibration efforts resides in the structural non-linearity of the search for the plane at infinity. I...
AAECC
2007
Springer
132views Algorithms» more  AAECC 2007»
13 years 8 months ago
Approximate implicitization of planar curves by piecewise rational approximation of the distance function
We present an approximate implicitization method for planar curves. The computed implicit representation is a piecewise rational approximation of the distance function to the given...
Mohamed Shalaby, Bert Jüttler, Josef Schicho
NIPS
2007
13 years 10 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
SOSYM
2002
66views more  SOSYM 2002»
13 years 8 months ago
Consistent specification of interface suites in UML
Abstract. The paper motivates and describes a model oriented approach for consistent specification of interface suites in UML. An interface suite is a coherent collection of interf...
Ella E. Roubtsova, L. C. M. van Gool, Ruurd Kuiper...