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» Smooth functions and local extreme values
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ICPR
2008
IEEE
14 years 5 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
CAGD
2005
116views more  CAGD 2005»
13 years 4 months ago
A sharpness dependent filter for mesh smoothing
In this paper, we propose a sharpness dependent filter design based on the fairing of surface normal, whereby the filtering algorithm automatically selects a filter. This may be a...
Chun-Yen Chen, Kuo-Young Cheng
SIAMCO
2002
78views more  SIAMCO 2002»
13 years 4 months ago
Strong Optimality for a Bang-Bang Trajectory
In this paper we give sufficient conditions for a bang-bang regular extremal to be a strong local optimum for a control problem in the Mayer form; strong means that we consider the...
Andrei A. Agrachev, Gianna Stefani, PierLuigi Zezz...
PAMI
2006
178views more  PAMI 2006»
13 years 4 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
13 years 10 months ago
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses
We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two ex...
Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matth...