TY - GEN
T1 - World-centered representation for neural networks
AU - Guo, Lei
PY - 1997
Y1 - 1997
N2 - A basic problem for pattern recognition is invariance. This article argues that the traditional full-parallel computation of neural networks that has excluded many useful series computation methods seems improper for the invariance. We introduce a series search mechanism into neural computing. The world-centered recognition is acquired by a pattern-centered memory plus a space search.
AB - A basic problem for pattern recognition is invariance. This article argues that the traditional full-parallel computation of neural networks that has excluded many useful series computation methods seems improper for the invariance. We introduce a series search mechanism into neural computing. The world-centered recognition is acquired by a pattern-centered memory plus a space search.
UR - http://www.scopus.com/inward/record.url?scp=0030677971&partnerID=8YFLogxK
U2 - 10.1109/ICNN.1997.611737
DO - 10.1109/ICNN.1997.611737
M3 - 会议稿件
AN - SCOPUS:0030677971
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 597-601A
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
T2 - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -