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NIPS
2003
13 years 10 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
BMVC
1998
13 years 10 months ago
Planar Curve Representation and Matching
In this paper, we discuss a method for representing and matching planar curves. The technique is based on using calculations from concentric circles to represent each curve by two...
Maher Al-Khaiyat, Farhad Kamangar
GRC
2008
IEEE
13 years 10 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICASSP
2010
IEEE
13 years 9 months ago
Integrating monaural and binaural analysis for localizing multiple reverberant sound sources
Localization of simultaneous sound sources in natural environments with only two microphones is a challenging problem. Reverberation degrades performance of localization based exc...
John Woodruff, DeLiang Wang
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 9 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...