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» Some new iterative methods with three-order convergence
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CRV
2005
IEEE
201views Robotics» more  CRV 2005»
15 years 11 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
JMIV
2006
72views more  JMIV 2006»
15 years 6 months ago
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
We propose a new method for the Lambertian Shape From Shading (SFS) problem based on the notion of Crandall-Lions viscosity solution. This method has the advantage of requiring the...
Emmanuel Prados, Fabio Camilli, Olivier D. Faugera...
PLDI
2009
ACM
16 years 26 days ago
PetaBricks: a language and compiler for algorithmic choice
It is often impossible to obtain a one-size-fits-all solution for high performance algorithms when considering different choices for data distributions, parallelism, transformati...
Jason Ansel, Cy P. Chan, Yee Lok Wong, Marek Olsze...
ICML
2010
IEEE
15 years 7 months ago
The Elastic Embedding Algorithm for Dimensionality Reduction
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...
Miguel Á. Carreira-Perpiñán
ICML
2010
IEEE
15 years 7 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens