Searching for authors named "Rod Adams" – sorted by Relevance.
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High Capacity Associative Memories and Connection Constraints
- High Capacity Associative Memories and Connection Constraints NEIL DAVEY and ROD ADAMS Department
- Cited by 7 (4 self) – Add To MetaCart
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Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree
- SCENT is simple competitive neural network model that evolves a tree structured set of nodes in response to being presented with an unlabelled data set. The resulting set of weight vectors and their relationship can be viewed as giving a hierarchical classification of the training data. This paper e
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Regular Paper CONNECTIVITY IN REAL AND EVOLVED ASSOCIATIVE MEMORIES
- in artificial associative memory models may shed light on some of Rod Adams, Lee Calcraft, Neil Davey School
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Detecting partial occlusion of humans using snakes and neural networks
- , Stella George & Rod Adams e-mail: {K.J.Tabb, N.Davey, S.J.George, R.G.Adams}@(email omitted); Department
- Cited by 6 (6 self) – Add To MetaCart
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Human Shape Recognition from Snakes using Neural Networks
- Ken Tabb, Stella George, Rod Adams, Neil Davey e-mail: {K.J.Tabb, R.G.Adams, N.Davey}@(email omitted);, S
- Cited by 6 (2 self) – Add To MetaCart
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The recognition and analysis of animate objects using neural networks and active contour models
- and Active Contour Models Ken Tabb, Neil Davey, Rod Adams & Stella George {K.J.Tabb, N.Davey, R.G.Adams, S
- Cited by 2 (2 self) – Add To MetaCart
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Staged Training of Neocognitron by Evolutionary Algorithms
- Staged Training of Neocognitron by Evolutionary Algorithms Zhengjun Pan 1;2 Theo Sabisch 1 Rod
- Cited by 5 (1 self) – Add To MetaCart
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Hierarchical Classification With a Competitive Evolutionary Neural Tree
- A new, dynamic, tree structured network, the Competitive Evolutionary Neural Tree (CENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage that the CENT offers over other hierarchical competitive networks is its ability to self de
- Cited by 6 (6 self) – Add To MetaCart
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The Analysis of the Addition of Stochasticity to a Neural Tree Classifier
- This paper describes various mechanisms for adding stochasticity to a dynamic hierarchical neural clusterer. Such a network grows a tree-structured neural classifier dynamically in response to the unlabelled data with which it is presented. Experiments are undertaken to evaluate the effects of this
- Cited by 1 (1 self) – Add To MetaCart
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Activity-based Pruning in Developmental Artificial Neural Networks
- Activity-based Pruning in Developmental Artificial Neural Networks Alistair G Rust 1;2 , Rod
- Cited by 4 (1 self) – Add To MetaCart

