On the Problem of Local Minima in Backpropagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Computer
Neural Computation
Image description and retrieval
Image description and retrieval
Learning with Recurrent Neural Networks
Learning with Recurrent Neural Networks
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Indexing Flower Patent Images Using Domain Knowledge
IEEE Intelligent Systems
Gradient Based Learning Methods
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
A Landmark-Based Approach of Shape Dissimilarity
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Image compression using binary space partitioning trees
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Input-output HMMs for sequence processing
IEEE Transactions on Neural Networks
Supervised neural networks for the classification of structures
IEEE Transactions on Neural Networks
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
Probabilistic based recursive model for adaptive processing of data structures
Expert Systems with Applications: An International Journal
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Expert Systems with Applications: An International Journal
Tree structures with attentive objects for image classification using a neural network
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An interactive flower image recognition system
Multimedia Tools and Applications
An effective colour feature extraction method using evolutionary computation for face recognition
International Journal of Biometrics
Expert Systems with Applications: An International Journal
International Journal of Hybrid Intelligent Systems
Hi-index | 0.01 |
This paper describes a method of structural pattern recognition based on a genetic evolution processing of data structures with neural networks representation. Conventionally, one of the most popular learning formulations of data structure processing is Backpropagation Through Structures (BPTS) [7]. The BPTS algorithm has been successfully applied to a number of learning tasks that involved structural patterns such as image, shape, and texture classifications. However, this BPTS typed algorithm suffers from the long-term dependency problem in learning very deep tree structures. In this paper, we propose the genetic evolution for this data structures processing. The idea of this algorithm is to tune the learning parameters by the genetic evolution with specified chromosome structures. Also, the fitness evaluation as well as the adaptive crossover and mutation for this structural genetic processing are investigated in this paper. An application to flowers image classification by a structural representation is provided for the validation of our method. The obtained results significantly support the capabilities of our proposed approach to classify and recognize flowers in terms of generalization and noise robustness.