Selective and focused invariant recognition using distributedassociative memories (DAM)
Polzleitner, W.
Wechsler, H.
Joanneum Res., Graz;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Aug 1990
Volume: 12,
Issue: 8
On page(s): 809-814
ISSN: 0162-8828
References Cited: 11
CODEN: ITPIDJ
INSPEC Accession Number: 3746884
Digital Object Identifier: 10.1109/34.57670
Current Version Published: 2002-08-06
Abstract
A method of 2-D object recognition based on the Moore-Penrose
distributed associative memory is presented. Using known relationships
between DAMs and regression analysis, the selectivity of the association
weights is improved in an iterative way be discarding from further
consideration response vectors deemed to be insignificant. Such
selectivity allow the system to focus on the significant associations
and to reduce crosstalk effects. The same formalism that allows the
significance of the association weights to be computed also provides for
a reject option. Experiments incorporating the proposed method onto an
invariant recognition system prove the feasibility and benefits of the
recognition scheme
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
