메뉴 건너뛰기




Volumn , Issue , 2012, Pages

Online reinforcement learning NoC for portable HD object recognition processor

Author keywords

[No Author keywords available]

Indexed keywords

EXPLICIT MODELING; FEATURE DETECTION; HETEROGENEOUS MULTICORE; HETEROGENEOUS SYSTEMS; MANAGEMENT POLICY; OVERALL EXECUTION; POWER EFFICIENCY; THROUGHPUT PERFORMANCE;

EID: 84869450992     PISSN: 08865930     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICC.2012.6330637     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 1
    • 70349268247 scopus 로고    scopus 로고
    • A 201.4GOPS 496mW Real-Time Multi-Object Recognition Processor with Bio-inspired Neural Perception Engine
    • J.-Y.Kim, et al., "A 201.4GOPS 496mW Real-Time Multi-Object Recognition Processor with Bio-inspired Neural Perception Engine," ISSCC Dig. Tech. Papers, pp.150-151, 2009.
    • (2009) ISSCC Dig. Tech. Papers , pp. 150-151
    • Kim, J.-Y.1
  • 2
    • 77952131584 scopus 로고    scopus 로고
    • A 345mW Heterogeneous Many-Core Processor with an Intelligent Inference Engine for Robust Object Recognition
    • Lee, s., et al., "A 345mW Heterogeneous Many-Core Processor with an Intelligent Inference Engine for Robust Object Recognition," ISSCC Dig. Tech. Papers, pp. 332-333, 2010.
    • (2010) ISSCC Dig. Tech. Papers , pp. 332-333
    • Lee, S.1
  • 3
    • 84866783535 scopus 로고    scopus 로고
    • Back to Thin-Core Massively Parallel Processors
    • Dec.
    • Ami Marowka, "Back to Thin-Core Massively Parallel Processors," Computer, Vol. 44, pp.49-54, Dec. 2011.
    • (2011) Computer , vol.44 , pp. 49-54
    • Marowka, A.1
  • 4
    • 78649810916 scopus 로고    scopus 로고
    • Intelligent NoC with Neuro-Fuzzy Bandwidth Regulation for a 51 IP Object Recognition Processor
    • Lee, S., et al., "Intelligent NoC with Neuro-Fuzzy Bandwidth Regulation for a 51 IP Object Recognition Processor", Proc. of IEEE CICC 2010.
    • Proc. of IEEE CICC 2010
    • Lee, S.1
  • 5
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Nov.
    • L. Itti et al., "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, no. 11, pp.1254-1259, Nov. 1998.
    • (1998) IEEE Trans. Pattern Anal. Machine Intell. , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1
  • 6
    • 70449720613 scopus 로고    scopus 로고
    • Familiarity based unified visual attention model for fast and robust object recognition
    • Lee, S., et al., 2010, "Familiarity based unified visual attention model for fast and robust object recognition," Pattern Recognition, vol. 43, pp.1116-1128.
    • (2010) Pattern Recognition , vol.43 , pp. 1116-1128
    • Lee, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.