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A brain inspired approach for multi-view patterns identification
journal contribution
posted on 2010-11-01, 00:00 authored by Yee Ling Boo, D AlahakoonBiologically human brain processes information in both uniimodal and multimodal approaches. In fact, information is progressively abstracted and seamlessly fused. Subsequently, the fusion of multimodal inputs allows a holistic understanding of a problem. The proliferation of technology has exponentially produced various sources of data, which could be likened to being the state of multimodality in human brain. Therefore, this is an inspiration to develop a methodology for exploring multimodal data and further identifying multi-view patterns. Specifically, we propose a brain inspired conceptual model that allows exploration and identification of patterns at different levels of granularity, different types of hierarchies and different types of modalities. A structurally adaptive neural network is deployed to implement the proposed model. Furthermore, the acquisition of multi-view patterns with the proposed model is
demonstrated and discussed with some experimental results.
demonstrated and discussed with some experimental results.
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Journal
World Academy of science, engineering and technologyVolume
4Issue
11Pagination
719 - 728Publisher
WASETLocation
[Venice, Italy]ISSN
2070-3740eISSN
1307-6892Language
engPublication classification
C1 Refereed article in a scholarly journalEditor/Contributor(s)
C ArdilUsage metrics
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