Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two stages of curve detection suggest two styles of visual computation
Neural Computation
International Journal of Computer Vision
Image segmentation based on oscillatory correlation
Neural Computation
Modelling the perceptual segregation of double vowels with a network of neural oscillators
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
A neural model of contour integration in the primary visual cortex
Neural Computation
Contour fragment grouping and shared, simple occluders
Computer Vision and Image Understanding
Constrained Clustering as an Optimization Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Figure-Ground Discrimination: A Combinatorial Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Layered Recurrent Neural Network for Feature Grouping
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Data Clustering Using a Model Granular Magnet
Neural Computation
Neural Computation
Selectively grouping neurons in recurrent networks of lateral inhibition
Neural Computation
Unsupervised Learning of Combination Features for Hierarchical Recognition Models
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Efficient Pattern Discrimination with Inhibitory WTA Nets
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Recurrent network with large representational capacity
Neural Computation
Image Segmentation by Networks of Spiking Neurons
Neural Computation
Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
Neural Computation
Selectivity and Stability via Dendritic Nonlinearity
Neural Computation
A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections
Neural Processing Letters
Solving TSP by using Lotka-Volterra neural networks
Neurocomputing
Discrete-time recurrent neural networks with complex-valued linear threshold neurons
IEEE Transactions on Circuits and Systems II: Express Briefs
Permitted and forbidden sets in discrete-time linear threshold recurrent neural networks
IEEE Transactions on Neural Networks
Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Learning compatibility functions for feature binding and perceptual grouping
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Sparse coding with invariance constraints
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Self-emerging action gestalts for task segmentation
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
IEEE Transactions on Neural Networks
Layered motion segmentation with a competitive recurrent network
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
A method for MRI segmentation of brain tissue
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
A new method based on the CLM of the LV RNN for brain MR image segmentation
Digital Signal Processing
Recurrent networks for structured data - A unifying approach and its properties
Cognitive Systems Research
A Competitive Layer Model for Cellular Neural Networks
Neural Networks
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We present a recurrent neural network for feature binding and sensory segmentation: the competitive-layer model (CLM). The CLM uses topographically structured competitive and cooperative interactions in a layered network to partition a set of input features into salient groups. The dynamics is formulated within a standard additive recurrent network with linear threshold neurons. Contextual relations among features are coded by pairwise compatibilities, which define an energy function to be minimized by the neural dynamics. Due to the usage of dynamical winner-take-all circuits, the model gains more flexible response properties than spin models of segmentation by exploiting amplitude information in the grouping process. We prove analytic results on the convergence and stable attractors of the CLM, which generalize earlier results on winner-take-all networks, and incorporate deterministic annealing for robustness against local minima. The piecewise linear dynamics of the CLM allows a linear eigensubspace analysis, which we use to analyze the dynamics of binding in conjunction with annealing. For the example of contour detection, we show how the CLM can integrate figure-ground segmentation and grouping into a unified model.