Perception as Bayesian Inference 作者: Knill, David C. (EDT)/ Richards, Whitman (EDT) 出版年: 2008-6页数: 532定价: $ 119.78ISBN: 9780521064996豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介 ··· Bayesian probability theory has emerged not only as a powerful...
Perception as Bayesian InferenceYuille, Alan LBulthoff, H HKersten, DanielMamassian, Pascal
P. in Perception as Bayesian Inference (eds Knill, D. S. & Richards, W.) 409–423 (Cambridge Univ. Press, 1996). Marlow, P. J. & Anderson, B. L. Motion and texture shape cues modulate perceived material properties. J. Vis. 16, 5 (2016). Article PubMed Google Scholar Wiesel, ...
T. Bayesian Modelling of Visual Perception In Probabilistic models of the brain: Perception and neural function (eds Rajesh, P. N. Rao, Bruno A. Olshausen & Michael S. Lewicki ) 13–35 (MIT press, 2002). Kersten, D., Mamassian, P. & Yuille, A. Object perception as Bayesian inference...
(1996) Implications of a Bayesian formulation of visual information processing for psychophysics, in Perception as Bayesian Inference (Knill, D.C. and Richards, W., eds), pp. 239–286, Cambridge University Press Google Scholar 42 Mamassian, P. and Landy, M.S. Observer biases in the 3D ...
Author : Citation : Object Perception as Bayesian Inference Three areas of high-level scene perception research are reviewed. The first concerns the role of eye movements in scene perception, focusing on the influen... UCL Angeles,L Alan,D Kersten,... 被引量: 1282发表: 2004年 The Fear-Avoi...
Edward H Adelson,A P Pentland - Perception as Bayesian Inference 被引量: 86发表: 1996年 Fusion of laser and radar sensor data with a sequential Monte Carlo Bayesian occupancy filter Occupancy grid mapping is a well-known environment perception approach. A grid map divides the environment into ce...
perceptual information as if it was able to optimally process the information according to a Bayesian inference model. The majority of models propose how the nervous system processes discrete cues (flash of light, auditory beep), but models have also been proposed for, e.g., learning in ...
1993. Integration, inference, and management of spatial information using Bayesian networks: Perceptual organization,IEEE Trans. Patt. Anal. Mach. Intell, 15(3): 256–272. Google Scholar Shachter, R.D. 1986. Evaluating influence diagrams,Operations Research, 34(6):871–882. Google Scholar ...
rect way what is arguably the most plausible version of a likelihood theory, Bayesian inference, with a recently-proposed generalized formal minimum principle (the maximum-depth rule of Minimal Model theory). Assuming qualitative information on the part of the observer, and ...