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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 4 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
IJRR
2007
181views more  IJRR 2007»
15 years 4 months ago
Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots
An algorithm is presented for wheeled mobile robot trajectory generation that achieves a high degree of generality and efficiency. The generality derives from numerical lineariza...
Thomas M. Howard, Alonzo Kelly
153
Voted
MP
2010
172views more  MP 2010»
15 years 3 months ago
Approximation algorithms for homogeneous polynomial optimization with quadratic constraints
In this paper, we consider approximation algorithms for optimizing a generic multi-variate homogeneous polynomial function, subject to homogeneous quadratic constraints. Such opti...
Simai He, Zhening Li, Shuzhong Zhang
EMMCVPR
2011
Springer
14 years 4 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
INFOCOM
2005
IEEE
15 years 10 months ago
Power control for OSNR optimization in optical networks: a distributed algorithm via a central cost approach
— This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general multi-lin...
L. Pavel