COMPARISON OF THE EFFICIENCY OF DETERMINISTIC AND STOCHASTIC ALGORITHMS FOR VISUAL RECONSTRUCTION

被引:97
作者
BLAKE, A
机构
关键词
D O I
10.1109/34.23109
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:2 / 12
页数:11
相关论文
共 30 条
[1]  
Bellman R. E., 1962, APPL DYNAMIC PROGRAM
[2]  
BESAG J, 1986, J R STAT SOC B, V48, P259
[3]  
Blake A., 1986, Proceedings CVPR '86: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.86CH2290-5), P656
[4]  
Blake A., 1986, Proceedings CVPR '86: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.86CH2290-5), P62
[5]   BOUNDARY-CONDITIONS FOR LIGHTNESS COMPUTATION IN MONDRIAN WORLD [J].
BLAKE, A .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 32 (03) :314-327
[6]  
BLAKE A, 1986, P ECAI BRIGHTON, P518
[7]  
Blake A., 1987, VISUAL RECONSTRUCTIO, V373, P131
[8]   The least-disturbance principle and weak constraints [J].
Blake, Andrew .
PATTERN RECOGNITION LETTERS, 1983, 1 (5-6) :393-399
[9]   MODELING AND SEGMENTATION OF NOISY AND TEXTURED IMAGES USING GIBBS RANDOM-FIELDS [J].
DERIN, H ;
ELLIOTT, H .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (01) :39-55
[10]   STOCHASTIC RELAXATION, GIBBS DISTRIBUTIONS, AND THE BAYESIAN RESTORATION OF IMAGES [J].
GEMAN, S ;
GEMAN, D .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (06) :721-741