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» The Convergence of Contrastive Divergences
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TNN
2010
176views Management» more  TNN 2010»
15 years 22 days ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
BMCBI
2007
115views more  BMCBI 2007»
15 years 6 months ago
Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites
Background: We performed an exhaustive search for local structural similarities in an ensemble of non-redundant protein functional sites. With the purpose of finding new examples ...
Gabriele Ausiello, Daniele Peluso, Allegra Via, Ma...
CVPR
2003
IEEE
16 years 8 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
CVPR
2009
IEEE
17 years 1 months ago
Global Active Contour-based Image Segmentation via Probability Alignment
Active contours is a popular technique for image segmentation. However, active contour tend to converge to the closest local minimum of its energy function and often requires a ...
Andriy Myronenko, Xubo B. Song
ICASSP
2009
IEEE
15 years 10 months ago
A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...
Nancy Bertin, Cédric Févotte, Roland...