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» Gradient Convergence in Gradient methods with Errors
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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 3 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
141
Voted
TFS
2008
129views more  TFS 2008»
15 years 1 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
161
Voted
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 10 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
118
Voted
AAAI
2008
15 years 5 months ago
Efficient Optimization of Information-Theoretic Exploration in SLAM
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
Thomas Kollar, Nicholas Roy
134
Voted
ICRA
2007
IEEE
171views Robotics» more  ICRA 2007»
15 years 9 months ago
Visual Servoing by Optimization of a 2D/3D Hybrid Objective Function
— In this paper, we present a new hybrid visual servoing algorithm for robot arm positioning task. Hybrid methods in visual servoing partially combine the 2D and 3D visual inform...
A. H. Abdul Hafez, C. V. Jawahar