1994 Special Issue: Modeling visual recognition from neurobiological constraints
Neural Networks - Special issue: models of neurodynamics and behavior
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Object Recognition Robust Under Translations, Deformations, and Changes in Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Compositionality in neural systems
The handbook of brain theory and neural networks
The handbook of brain theory and neural networks
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Reconstruction from Graphs Labeled with Responses of Gabor Filters
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Graph Grammars as a generative tool in image understanding
Proceedings of the 2nd International Workshop on Graph-Grammars and Their Application to Computer Science
Development of visual shape primitives (learning, object recognition)
Development of visual shape primitives (learning, object recognition)
A Compression Approach to Support Vector Model Selection
The Journal of Machine Learning Research
Fast Object and Pose Recognition Through Minimum Entropy Coding
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
The Amsterdam Library of Object Images
International Journal of Computer Vision
Image Representation by Complex Cell Responses
Neural Computation
Rapid convergence to feature layer correspondences
Neural Computation
Class-Based Feature Matching Across Unrestricted Transformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of majority voting to pattern recognition: an analysis of its behavior and performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Similarity rank correlation for face recognition under unenrolled pose
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Expectation Truncation and the Benefits of Preselection In Training Generative Models
The Journal of Machine Learning Research
Hybrid machine learning approach for object recognition: fusion of features and decisions
Machine Graphics & Vision International Journal
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We present an object recognition system built on a combination of feature-and correspondence-based pattern recognizers. The feature-based part, called preselection network, is a single-layer feedforward network weighted with the amount of information contributed by each feature to the decision at hand. For processing arbitrary objects, we employ small, regular graphs whose nodes are attributed with Gabor amplitudes, termed parquet graphs. The preselection network can quickly rule out most irrelevant matches and leaves only the ambiguous cases, so-called model candidates, to be verified by a rudimentary version of elastic graph matching, a standard correspondence-based technique for face and object recognition. According to the model, graphs are constructed that describe the object in the input image well. We report the results of experiments on standard databases for object recognition. The method achieved high recognition rates on identity and pose. Unlike many other models, it can also cope with varying background, multiple objects, and partial occlusion.