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ICIP
2008
IEEE
14 years 10 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
ACL
1994
13 years 9 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
JCC
2006
68views more  JCC 2006»
13 years 8 months ago
Explicit factorization of external coordinates in constrained statistical mechanics models
If a macromolecule is described by curvilinear coordinates or rigid constraints are imposed, the equilibrium probability density that must be sampled in Monte Carlo simulations in...
Pablo Echenique, Iván Calvo
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 21 days ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
SACI
2007
IEEE
14 years 2 months ago
Geometric Theory and Control of Linear Parameter Varying Systems
: Linear Parameter Varying(LPV) systems appear in a form of LTI state space representations where the elements of the A(ρ), B(ρ), C(ρ) matrices can depend on an unknown but at a...
Jozsef Bokor