|
13
|
Bayesian Inference on Visual Grammars by Neural Nets that Optimize
– Eric Mjolsness
- 1990
|
|
19
|
A Lagrangian Relaxation Network for Graph Matching
– Anand Rangarajan, Eric Mjolsness
- 1996
|
|
4
|
Biologically-inspired computing approaches to cognitive systems : a partial tour of the literature
– Dave Cliff
- 2003
|
|
33
|
A Novel Optimizing Network Architecture with Applications
– Anand Rangarajan, Steven Gold, Eric Mjolsness
- 1996
|
|
3
|
Problem Solving with Optimization Networks
– Andrew Howard Gee
- 1993
|
|
3
|
Mixture Models and the EM Algorithm for Object Recognition within Compositional Hierarchies Part 1: Recognition
– Joachim Utans
- 1993
|
|
2
|
On the Statistical Mechanics of (Un)Constrained Stochastic Hopfield and `Elastic' Neural Networks
– Jan Van Den Berg, Jan C. Bioch
- 1994
|
|
21
|
Connectionist Inference Systems
– Hans Werner Güsgen, Steffen Hölldobler
- 1991
|
|
33
|
The complexity of analog computation
– Anastasios Vergis, Kenneth Steiglitz
|
|
1
|
Analog Parallel Computational Geometry
– F. Dehne, B. Flach, J.-R. Sack, N. Valiveti
- 1993
|
|
1
|
Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds
– Derong Liu, Sanqing Hu, Jun Wang, Senior Member, Senior Member
- 2004
|
|
3
|
Relaxation Labeling Using Augmented Lagrange-Hopfield Method
– Stan Z. Li, William Y. C. Soh, Eam Khwang Teoh
- 1998
|
|
13
|
Improving Convergence and Solution Quality of Hopfield-Type Neural Networks with Augmented Lagrange Multipliers
– Stan Z. Li
- 1996
|
|
15
|
Toward 3D Vision from Range Images: An Optimization Framework and Parallel Networks
– Stan Z. Li
|
|
8
|
Bayesian Image Restoration And Segmentation By Constrained Optimization
– S. Z. Li, K. L. Chan, H. Wang
- 1996
|
|
19
|
Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research
– Kate A. Smith
- 1999
|
|
|
A Neural Network Realization of File Transfer Scheduling
– Mohammad Kazem, Akbari Seyed, Mehdi Hosseini-nejad, Mohammad Kalantari
|
|
3
|
Stability Analysis of Gradient-Based Neural Networks for Optimization Problems
– Qiaoming Han, Li-Zhi Liao, Houduo Qi, Liqun Qi
- 2000
|
|
9
|
A Neural Architecture for a Class of Abduction Problems
– Ashok Goel Ramanujam, Ashok K. Goel, J. Ramanujam
- 1996
|
