Modeling Visual Patterns by Integrating Descriptive and Generative Methods


This paper presents a class of statistical models that integrate two statistical modeling paradigms in the literature: (I) Descriptive methods, such as Markov random fields and minimax entropy learning (Zhu, S.C., Wu, Y.N., and Mumford, D. 1997. Neural Computation, 9(8)), and (II) Generative methods, such as principal component analysis, independent… (More)
DOI: 10.1023/A:1023023207396


18 Figures and Tables