2005 Special Issue: Recursive neural networks for processing graphs with labelled edges: theory and applications

Authors:
M. Bianchini;M. Maggini;L. Sarti;F. Scarselli
Affiliations:
Dipartimento di Ingegneria dell'Informazione Universití degli Studi di Siena Via Roma, 56 53100 - Siena (Italy);Dipartimento di Ingegneria dell'Informazione Universití degli Studi di Siena Via Roma, 56 53100 - Siena (Italy);Dipartimento di Ingegneria dell'Informazione Universití degli Studi di Siena Via Roma, 56 53100 - Siena (Italy);Dipartimento di Ingegneria dell'Informazione Universití degli Studi di Siena Via Roma, 56 53100 - Siena (Italy)
Venue:
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Year:
2005

Citing 16
Cited 10

Optimal filters for the detection of linear patterns in 2-D and higher dimensional images

Pattern Recognition
Multilayer feedforward networks are universal approximators

Neural Networks
On the approximate realization of continuous mappings by neural networks

Neural Networks
Neural networks for admission control in an ATM network

selected papers from the Swedish conference on Connectionism in a broad perspective
Invariant handwritten Chinese character recognition using fuzzy min-max neural networks

Pattern Recognition Letters
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Inductive Learning in Symbolic Domains Using Structure-Driven Recurrent Neural Networks

KI '96 Proceedings of the 20th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Similarity learning for graph-based image representations

Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Probablistic Affine Invariants for Recognition

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A General Framework for Object Detection

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Recursive neural networks learn to localize faces

Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
Backpropagation applied to handwritten zip code recognition

Neural Computation
Graph edit distance with node splitting and merging, and its application to diatom identification

GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
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
Processing directed acyclic graphs with recursive neural networks

IEEE Transactions on Neural Networks

A Neuro Fuzzy Approach for Handling Structured Data

SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Ranking Web Pages Using Machine Learning Approaches

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning

Neurocomputing
Graph Neural Networks for Object Localization

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Uninorm Based Fuzzy Network for Tree Data Structures

WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Classification of graphical data made easy

Neurocomputing
The graph neural network model

IEEE Transactions on Neural Networks
Computational capabilities of graph neural networks

IEEE Transactions on Neural Networks
Object recognition using multiresolution trees

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Solving graph data issues using a layered architecture approach with applications to web spam detection

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we introduce a new recursive neural network model able to process directed acyclic graphs with labelled edges. The model uses a state transition function which considers the edge labels and is independent both from the number and the order of the children of each node. The computational capabilities of the new recursive architecture are assessed. Moreover, in order to test the proposed architecture on a practical challenging application, the problem of object detection in images is also addressed. In fact, the localization of target objects is a preliminary step in any recognition system. The proposed technique is general and can be applied in different detection systems, since it does not exploit any a priori knowledge on the particular problem. Some experiments on face detection, carried out on scenes acquired by an indoor camera, are reported, showing very promising results.