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Volumn 26, Issue 2, 2003, Pages 131-148

Experience with a hybrid processor: K-means clustering

Author keywords

Configurable system on a chip; CSOC; Excalibur; FPGA; Image processing; K means clustering

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER HARDWARE; COMPUTER SIMULATION; COMPUTER SOFTWARE; DATA TRANSFER; IMAGE PROCESSING; REDUCED INSTRUCTION SET COMPUTING;

EID: 0011865027     PISSN: 09208542     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1024495400663     Document Type: Article
Times cited : (36)

References (18)
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  • 2
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  • 3
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    • Algorithmic transformations in the implementation of k-means clustering on reconfigurable hardware
    • M. Estlick, M. Leeser, J. Szymanski, and J. Theiler. Algorithmic transformations in the implementation of k-means clustering on reconfigurable hardware. ACM FPGA 2001, 2001.
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    • Estlick, M.1    Leeser, M.2    Szymanski, J.3    Theiler, J.4
  • 4
    • 0034998502 scopus 로고    scopus 로고
    • Evaluation of the streams-C C-to-FPGA compiler: An applications perspective
    • J. Frigo, M. Gokhale, and D. Lavenier. Evaluation of the streams-C C-to-FPGA compiler: An applications perspective. ACM FPGA 2001, 2001.
    • (2001) ACM FPGA 2001
    • Frigo, J.1    Gokhale, M.2    Lavenier, D.3
  • 5
    • 0035391123 scopus 로고    scopus 로고
    • Clustering to improve matched-filter detection of weak gas plumes in hyperspectral imagery
    • C. Funk, J. Theiler, D. A. Roberts, and C. C. Borel. Clustering to improve matched-filter detection of weak gas plumes in hyperspectral imagery. IEEE Trans. Geosci. Remote Sensing, 39:1410-1419, 2001.
    • (2001) IEEE Trans. Geosci. Remote Sensing , vol.39 , pp. 1410-1419
    • Funk, C.1    Theiler, J.2    Roberts, D.A.3    Borel, C.C.4
  • 8
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    • Iterative split-and-merge algorithm for vector quantization codebook generation
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    • Kaukoranta, T.1    Fränti, P.2    Nevalainen, O.3
  • 9
    • 0043283810 scopus 로고    scopus 로고
    • FPGA implementation of the k-means clustering algorithm for hyperspectral images
    • Los Alamos National Laboratory LAUR 00-3079
    • D. Lavenier. FPGA implementation of the k-means clustering algorithm for hyperspectral images. Los Alamos National Laboratory LAUR 00-3079, 2000.
    • (2000)
    • Lavenier, D.1
  • 10
    • 0042281486 scopus 로고    scopus 로고
    • Applying reconfigurable hardware to segmentation for multispectral imagery
    • Boston, MA, Sept.
    • M. Leeser, M. Estlick, N. Kitaryeva, J. Theiler, and J. Szymanski. Applying reconfigurable hardware to segmentation for multispectral imagery. In HPEC 2000, Boston, MA, Sept. 2000.
    • (2000) HPEC 2000
    • Leeser, M.1    Estlick, M.2    Kitaryeva, N.3    Theiler, J.4    Szymanski, J.5
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    • The Napa adaptive processing architecture
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    • Co-design of software and hardware to implement remote sensing algorithms
    • J. Theiler, J. Frigo, M. Gokhale, and J. J. Szymanski. Co-design of software and hardware to implement remote sensing algorithms. Proc. SPIE, 4480, 2001.
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    • Theiler, J.1    Frigo, J.2    Gokhale, M.3    Szymanski, J.J.4
  • 17
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    • Accelerating EM for large databases
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.