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TNN
1998
100views more  TNN 1998»
14 years 9 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
SARA
2000
Springer
15 years 1 months ago
Improving the Efficiency of Reasoning Through Structure-Based Reformulation
We investigate the possibility of improving the efficiency of reasoning through structure-based partitioning of logical theories, combined with partitionbased logical reasoning str...
Eyal Amir, Sheila A. McIlraith
ET
2002
64views more  ET 2002»
14 years 9 months ago
Structural Fault Based Specification Reduction for Testing Analog Circuits
Specification reduction can reduce test time, consequently, test cost. In this paper, a methodology to reduce specifications during specification testing for analog circuit is prop...
Soon-Jyh Chang, Chung-Len Lee, Jwu E. Chen
ICCV
2003
IEEE
15 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 9 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun