An introduction to neural computing
An introduction to neural computing
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art
Mental Imagery in Explanations of Visual Object Classification
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Design and application of hybrid intelligent systems
WiSARD and NSP for Robot Global Localization
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
IEICE - Transactions on Information and Systems
Producing pattern examples from "mental" images
Neurocomputing
A neurosymbolic hybrid approach for landmark recognition and robot localization
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
ISIDIS: an intelligent videosurveillance system
Proceedings of the International Working Conference on Advanced Visual Interfaces
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This paper investigates the integration of verbal and visual information for describing (explaining) the content of images formed by three–dimensional geometrical figures, from a hybrid neurosymbolic perspective. The results of visual object classifications involving top–down application of stored knowledge and bottom–up image processing are effectively explained relying on both words and pictures. The latter seems particularly suitable in explanations concerning high–level visual tasks involving both top–down reasoning and bottom–up perceptual processes.