In this paper a Hyper Basis Function based multinetwork classifier for visual crowding evaluation in indoor environment is proposed. Some common topics concerning the classification problem, like the generalisation ability; the robustness, the adaptivity and performance evaluation are explored. The role of doubt classification is also introduced and discussed. Experimental results obtained in a real-world situation are finally reported
Visual Crowding Evaluation: A Neural Network Based Approach
Boninsegna, Massimo;
1995-01-01
Abstract
In this paper a Hyper Basis Function based multinetwork classifier for visual crowding evaluation in indoor environment is proposed. Some common topics concerning the classification problem, like the generalisation ability; the robustness, the adaptivity and performance evaluation are explored. The role of doubt classification is also introduced and discussed. Experimental results obtained in a real-world situation are finally reportedFile in questo prodotto:
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