메뉴 건너뛰기




Volumn 38, Issue 4, 1992, Pages 1249-1257

Vector Quantization by Deterministic Annealing

Author keywords

Vector quantization annealing maximum entropy clustering

Indexed keywords


EID: 84899025015     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.144705     Document Type: Article
Times cited : (192)

References (24)
  • 1
    • 0020102027 scopus 로고
    • Least-squares quantization in PCM
    • Mar.(Reprint of the paper)
    • S. P. Lloyd. “Least-squares quantization in PCM,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 129–137, Mar. 1982. (Reprint of the 1957 paper).
    • (1982) IEEE Trans. Inform. Theory. , vol.IT-28 , pp. 129-137
    • Lloyd, S.P.1
  • 2
    • 84937350296 scopus 로고
    • Quantizing for minimum distortion
    • J. Max, “Quantizing for minimum distortion,” IRE Trans. Inform. Theory, vol. IT-6, pp. 7–12, Mar. 1960.
    • (1960) IRE Trans. Inform. Theory. , vol.IT-6 , pp. 7-12
    • Max, J.1
  • 3
    • 0018918171 scopus 로고
    • An algorithm for vector quantizer design
    • Jan.
    • Y. Linde, A. Buzo, and R. M. Gray, “An algorithm for vector quantizer design,” IEEE Trans. Communications, vol. COM-28, pp. 84–95, Jan. 1980.
    • (1980) IEEE Trans. Communications , vol.COM-28 , pp. 84-95
    • Linde, Y.1    Buzo, A.2    Gray, R.M.3
  • 4
    • 0014060964 scopus 로고
    • A clustering technique for summarizing multivariate data
    • G. Ball and D. Hall, “A clustering technique for summarizing multivariate data,” Behavioral Sci., vol. 12, pp. 153–155, 1967.
    • (1967) Behavioral Sci , vol.12 , pp. 153-155
    • Ball, G.1    Hall, D.2
  • 5
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J. C. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters,” J. Cybern., vol. 3, pp. 32–57, 1974.
    • (1974) J. Cybern. , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 6
    • 0018918224 scopus 로고
    • A convergence theorem for the fuzzy ISODATA clustering algorithms
    • Jan.
    • J. C. Bezdek, “A convergence theorem for the fuzzy ISODATA clustering algorithms,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-2, pp. 1–8, Jan. 1980.
    • (1980) IEEE Trans. Pattern Anal. Machine Intell , vol.PAMI-2 , pp. 1-8
    • Bezdek, J.C.1
  • 7
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, pp. 671–680, 1983.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 9
    • 0024963110 scopus 로고
    • Stochastic relaxation algorithm for improved vector quantizer design
    • K. Zeger and A. Gersho, “Stochastic relaxation algorithm for improved vector quantizer design,” Electron. Lett., vol. 25, pp. 896–898, 1989.
    • (1989) Electron. Lett. , vol.25 , pp. 896-898
    • Zeger, K.1    Gersho, A.2
  • 10
    • 0026821563 scopus 로고
    • Globally optimal vector quantizer design by stochastic relaxation
    • Feb.
    • K. Zeger, J. Vaisey, and A. Gersho, “Globally optimal vector quantizer design by stochastic relaxation,” IEEE Trans. Signal Processing, vol. 40, pp. 310–322, Feb. 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , pp. 310-322
    • Zeger, K.1    Vaisey, J.2    Gersho, A.3
  • 11
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Nov.
    • S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,” IEEE Trans. Pattern Anal. Machine Intell:, vol. 6, 721–741, Nov. 1984.
    • (1984) IEEE Trans. Pattern Anal. Machine Intell: , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 12
    • 0022298295 scopus 로고
    • A tutorial survey of theory and applications of simulated annealing
    • B. Hajek, “A tutorial survey of theory and applications of simulated annealing,” in 24th IEEE Conf. Decision Contr., 1985, pp. 755–760.
    • (1985) 24th IEEE Conf. Decision Contr , pp. 755-760
    • Hajek, B.1
  • 13
    • 0000155356 scopus 로고
    • An analysis of the elastic net approach to the travelling salesman problem
    • R. Durbin, R. Szeliski, and A. Yuille, “An analysis of the elastic net approach to the travelling salesman problem,” Neural Computat., vol. 1, pp. 348–358, 1989.
    • (1989) Neural Computat , vol.1 , pp. 348-358
    • Durbin, R.1    Szeliski, R.2    Yuille, A.3
  • 14
    • 36149034729 scopus 로고
    • Statistical mechanics as the underlying theory of elastic and neural optimization
    • P. D. Simic, “Statistical mechanics as the underlying theory of elastic and neural optimization,” Network, vol. 1, pp. 89–103, 1990.
    • (1990) Network , vol.1 , pp. 89-103
    • Simic, P.D.1
  • 15
    • 0025585402 scopus 로고
    • A deterministic annealing approach to clustering
    • K. Rose, E. Gurewitz, and G. C. Fox, “A deterministic annealing approach to clustering,” Pattern Recognition Lett., vol. 11, pp. 589–594, 1990.
    • (1990) Pattern Recognition Lett , vol.11 , pp. 589-594
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 16
    • 0000389568 scopus 로고
    • Statistical mechanics and phase transitions in clustering
    • K. Rose, E. Gurewitz, and G. C. Fox, “Statistical mechanics and phase transitions in clustering,” Physical Rev. Lett., vol. 65, pp. 945–948, 1990.
    • (1990) Physical Rev. Lett , vol.65 , pp. 945-948
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 17
    • 0026821121 scopus 로고
    • Competitive learning and soft competition for vector quantizer design
    • Feb.
    • E. Yair, K. Zeger, and A. Gersho, “Competitive learning and soft competition for vector quantizer design,” IEEE Trans. Signal Processing, vol. 40, pp. 294–309, Feb. 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , pp. 294-309
    • Yair, E.1    Zeger, K.2    Gersho, A.3
  • 19
    • 0001659837 scopus 로고
    • Gradient algorithms for designing predictive vector quantizers
    • Aug.
    • P.C. Chang and R. M. Gray, “Gradient algorithms for designing predictive vector quantizers,” IEEE Trans. Acoust., Speech, and Signal Processing, vol. ASSP-34, pp. 679–690, Aug. 1986.
    • (1986) IEEE Trans. Acoust., Speech, and Signal Processing , vol.ASSP-34 , pp. 679-690
    • Chang, P.C.1    Gray, R.M.2
  • 23
    • 0018877134 scopus 로고
    • Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
    • Jan.
    • J. E. Shore and R. W. Johnson, “Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy,” IEEE Tran. Inform. Theory, vol. IT-26, pp. 26–37, Jan. 1980.
    • (1980) IEEE Tran. Inform. Theory. , vol.IT-26 , pp. 26-37
    • Shore, J.E.1    Johnson, R.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.