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» Learning a Generative Model for Structural Representations
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IDEAL
2005
Springer
14 years 1 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
MCS
2009
Springer
14 years 2 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown
IMR
2004
Springer
14 years 27 days ago
API for Grid Generation Over Topological Models
Topological representations are being used to define geometric models suitable for grid generation and grid generation tools are being developed that work directly on topological ...
S. Gopalsamy, Douglas H. Ross, Alan M. Shih
PAMI
2008
182views more  PAMI 2008»
13 years 7 months ago
A Hierarchical Compositional Model for Face Representation and Sketching
This paper presents a hierarchical-compositional model of human faces, as a three-layer AND-OR graph to account for the structural variabilities over multiple resolutions. In the A...
Zijian Xu, Hong Chen, Song Chun Zhu, Jiebo Luo
ICML
2010
IEEE
13 years 8 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum