Distributed associated memories and data fusion

H. Wechsler, George L Zimmerman

Research output: Contribution to journalConference articlepeer-review


We suggest using distributed associative memory (DAM) to integrate visual information from multiple cues or sources for performing invariant object recognition. We assume that the output of the sources vary consistently for a given input. We perform a series of experiments whose goal is to assess our approach to the data fusion problem. The database is made up of 15 classes of colored polyhedral objects. Each object in the database underwent a specific linear transformation and was correctly identified. The same applies to occlusion and noise. Our results show that for points close to the central locations of the objects being viewed the response is correct.

Original languageEnglish (US)
Number of pages1
JournalNeural Networks
Issue number1 SUPPL
StatePublished - Jan 1 1988
EventInternational Neural Network Society 1988 First Annual Meeting - Boston, MA, USA
Duration: Sep 6 1988Sep 10 1988

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