(2004). Object perception as Bayesian inference. Annual Review of Psychology, 55, 271-304. doi: 10.1146/annurev.psych.55.090902.142005Kersten D, Mamassian P, Yuille A (2004) Object perception as Bayesian inference. Annu Rev Psychol. 55:271-304....
Object perception as Bayesian inference. Annu. Rev. Psychol. 55, 271–304 (2004). 12. Isik, L., Meyers, E. M., Leibo, J. Z. & Poggio, T. a. The dynamics of invariant object recognition in the human visual system. J. Neurophysiol. (2013) doi:10.1152/ jn.00394.2013. 13. Parish...
Object perception as Bayesian inference. We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical ... DC Knill,WA Richards - 《Annual Review of Psychology》 被引量: 1745发表: 1996年 String-net condensa...
Perception as Bayesian Inference: Introduction When an unknown object with Lambertian reflectance is viewed orthographically, there is an implicit ambiguity in determining its 3-d structure: we show tha... DC Knill,D Kersten,A Yuille 被引量: 999发表: 1996年 Minimax Entropy Principle and Its Appli...
i. Bayesian processing and multisensory integration There is a conceptual problem known by many names in the philosophy and cognitive science of perception:the binding problem(Treisman1998),the many properties problem(Jackson1977; Clark2000),the many-many problemFootnote4(Wu2014),the ambiguity of sen...
Bayesian estimation of the shape skeleton. Proc. Natl Acad. Sci. USA 103, 18014–18019 (2006). Article MathSciNet CAS PubMed PubMed Central ADS Google Scholar Landau, B., Smith, L. & Jones, S. Object perception and object naming in early development. Trends Cogn. Sci. 2, 19–24 ...
Posterior distributions of the unknown variables are approximated using Bayesian inference approaches. Representative algorithms in this category can be found in [76–79]. For the SVD algorithms, approximated SVD solutions exist to avoid full SVD such as partial SVD [18], linear time SVD [191], ...
Our findings may also shed light on potential neural mechanisms involved in Bayesian theories of perceptual inference. Bayes formula can be used to describe object perception as an integration of image feature reliability, embodied by likelihood, and the prior probability distribution. For instance, Ker...
bayesian networkprobabilistic inferenceprobabilistic algorithmmean-field theorybelief propagationProbabilistic inference by means of a massive probabilistic model ... K Tanaka - 《Ieice Transactions on Information & Systems》 被引量: 26发表: 2003年 Abductive networks Abduction not only classifies the distinct...
(5.26), (5.27), where optimal γj⁎ is offered by the Cauchy-Schwarz inequality, and ϕj is the conditional probability from Bayesian inference: (5.26)ℓˆj⁎θ=ℓjθ+γj⁎ where (5.27)ℓjθ=−logϕj ℓˆjθ can approximate ℓˆj⁎θ=ℓjθ+γj⁎=ℓj...