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UAI
2003
15 years 8 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
175
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VCIP
2003
170views Communications» more  VCIP 2003»
15 years 8 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
FTCS
1998
83views more  FTCS 1998»
15 years 8 months ago
The SunSCALR Framework for Internet Servers
Internet servers need to be highly-available, inexpensive, and scalable. These goals are often con icting and most designs meet, with limited success, only few of them. In this pa...
Ashish Singhai, Swee Boon Lim, Sanjay R. Radia
NIPS
2000
15 years 8 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
IJCAI
1997
15 years 8 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
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