1994 Special Issue: Modeling visual recognition from neurobiological constraints
Neural Networks - Special issue: models of neurodynamics and behavior
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
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A constructive approach for the detection of objects with topological variances is introduced. The architecture enables shift and scale invariant detection and is trained through supervised learning. Representations of the input data are built by combining association elements in a hierarchical grid. This leads to a big flexibility of representation employing only few element types. Simulation results are given for the task of detecting windows of buildings in real world images.