TY - GEN
T1 - Exploiting natural redundancy in visual information
AU - Lee, Chris S.
AU - Irick, Kevin M.
AU - Sampson, Jack
AU - Zhang, Chuanjun
AU - Narayanan, Vijaykrishnan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/3
Y1 - 2014/12/3
N2 - This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.
AB - This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.
UR - http://www.scopus.com/inward/record.url?scp=84919694622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919694622&partnerID=8YFLogxK
U2 - 10.1109/ICCD.2014.6974728
DO - 10.1109/ICCD.2014.6974728
M3 - Conference contribution
AN - SCOPUS:84919694622
T3 - 2014 32nd IEEE International Conference on Computer Design, ICCD 2014
SP - 505
EP - 508
BT - 2014 32nd IEEE International Conference on Computer Design, ICCD 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE International Conference on Computer Design, ICCD 2014
Y2 - 19 October 2014 through 22 October 2014
ER -