参考文献
〔1〕J.J. Hopfield and D.W. Tank: ﾒNeuralﾓ computation of decisions in optimization
problems, Biol. Cybern, 52, pp.141-1521985
〔2〕C. Koch, J. Marroquin and A. Yuille: Analog ﾒNeuralﾓ Networks in Early Vision,
proc. Natl. Acad. Sci. USA, 83, pp.4263-4267, 1986
〔3〕川人，池田，曽根原，乾，三宅：「画像情報処理と神経回路モデル」人工知能学会誌，Vol.4, No.2, pp.27-34, 1988
〔4〕曽根原，川人，三宅：「ニューラルネットと画像処理」計測自動制御学会，講演会予稿「ロボットやビジョンの知能化」，1989.10
〔5〕S. Geman and D. Geman: ﾒStochastic Relaxation, Gibbs Distributions and the
Bayesian Restoration of Images, IEEE Trans., PAMI-6, pp.721-741, 1984
〔6〕B.E. Bayer: ﾒAn optimum method for two-level rendition of continuous-tone pictures.ﾓ
International conference on communications, Vol.1, pp.26-11-26-15, June 1973
〔7〕E. Walach, E. Karnin: A Fractal Based Approch to Image Data Compression, IC
ASSP 86, TOKYO, pp.529-532
〔8〕D. Terzopoulos: Regularization of Inverse Visual Problems Involving Discontinuities,
IEEE Trans. Vol. PAMI-8, No.4, pp.413-424, JULY 1986
Copyright(c)2002（株）国際電気通信基礎技術研究所