Quantifying the unimportance of prior probabilities in a computer vision problem

Andrews, 1977, Digital Image Restoration, 187 Chellappa, 1981, Fitting Markov random field models to images, 10.21236/ADA095857 Dalkey, 1985, Maximum-Entropy and Bayesian Methods in Inverse Problems, 351 Derin, 1984, Bayes smoothing algorithms for segmentation of binary images modeled by Markov random fields, IEEE Trans. Pattern Anal. Machine Intell., 6, 707, 10.1109/TPAMI.1984.4767595 Duda, 1968, Experiments in the recognition of handprinted text: Part II context analysis, 33, 1139 Duda, 1973 Forney, 1973, The Viterbi algorithm, 61, 268 Frieden, 1972, Restoring with maximum entropy, J. Opt. Soc. Amer., 62, 511, 10.1364/JOSA.62.000511 Frieden, 1985, Maximum-Entropy and Bayesian Methods in Inverse Problems Frieden, 1985, Maximum bounded entropy, Applied Optics, 24, 201, 10.1364/AO.24.000201 Geman, 1984, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Machine Intell., 6, 721, 10.1109/TPAMI.1984.4767596 Gull, 1985, Maximum-Entropy and Bayesian Methods in Inverse Problems, 287 Herman, 1985, Maximum-Entropy and Bayesian Methods in Inverse Problems, 319 Hull, 1982, Experiments in text recognition with binary n-gram and Viterbi algorithms, IEEE Trans. Pattern Anal. Machine Intell., 4, 520, 10.1109/TPAMI.1982.4767297 Hull, 1983, An integrated algorithm for text recognition: comparison with a cascaded algorithm, IEEE Trans. Pattern Anal. Machine Intell., 5, 384, 10.1109/TPAMI.1983.4767408 Hull, 1988, A blackboard-based approach to handwritten zip code recognition, 111 Hull, 1986, Inter-word constraints in visual word recognition, 134 Hull, 1986, The use of global context in text recognition Hull, 1987, A computational theory of visual word recognition Jaynes, 1985, Maximum-Entropy and Bayesian Methods in Inverse Problems Kashyap, 1984, Spelling correction using probabilistic methods, Pattern Recognition Letters, 2, 147, 10.1016/0167-8655(84)90038-2 Lowrance, 1983, Evidential reasoning: An implementation for multisensor integration Nagy, 1982, Chapter Optical character recognition: theory and practice, Handbook of Statistics, Vol. 2, 621, 10.1016/S0169-7161(82)02032-X Neuhoff, 1975, The Viterbi algorithm as an aid in text recognition, IEEE Trans. Information Theory, 21, 222, 10.1109/TIT.1975.1055355 Owen, 1984, A neighbourhood-based classifier for landsat data, Canad. J. Statistics, 12, 191, 10.2307/3314747 Peterson, 1986, A note on undetected typing errors, Comm. ACM, 29, 633, 10.1145/6138.6146 Reuhkala, 1983, Recognition of strings of discrete symbols with special application to isolated word recognition, Acta Polytechnica Scandinavia, 38, 1 Sher, 1987, Generating robust operators from specialized ones Sher, 1987, A probabilistic approach to low-level vision Sher, 1987, Tunable facet model likelihood generators for boundary pixel detection Shinghal, 1979, A bottom-up and top-down approach to using context in text recognition, Internat. J. Man-Machine Studies, 11, 201, 10.1016/S0020-7373(79)80017-6 Wesley, 1982, The use of an evidential-based model for representing knowledge and reasoning about images in the visions system, IEEE Trans. Pattern Anal. Machine Intell., 4, 14 Wesley, 1982, The use of an evidential-based model for representing knowledge and reasoning about images in the visions system, 14 Witkin, 1981, Recovering surface shape and orientation from texture, Artificial Intelligence, 17, 17, 10.1016/0004-3702(81)90019-9