论文信息 - Hypothesis Generation in a Computational Model for Visual Word Recognition - 字舞流文

Hypothesis Generation in a Computational Model for Visual Word Recognition

Jonathan J. Hull

[1] L. D. Earnest,et al. Machine Recognition of Cursive Writing , 1962, IFIP Congress.

[2] Godfried T. Toussaint,et al. A bottom-up and top-down approach to using context in text recognition , 1979 .

[3] Sargur N. Srihari,et al. Integrating diverse knowledge sources in text recognition , 1982, TOIS.

[4] J. M. Cattell. THE TIME IT TAKES TO SEE AND NAME OBJECTS , 1886 .

[5] RAOUF F. H. FARAG,et al. Word-Level Recognition of Cursive Script , 1979, IEEE Transactions on Computers.

[6] H. Kucera,et al. Computational analysis of present-day American English , 1967 .

[7] Wolfgang Doster,et al. A decision theoretic approach to hierarchical classifier design , 1984, Pattern Recognit..

[8] G. McConkie,et al. Integrating information across eye movements , 1980, Cognitive Psychology.

[9] Ralph Norman Haber,et al. Visual Components of the Reading Process. , 1981 .

[10] Jonathan Hull,et al. COMPUTATIONAL APPROACH TO VISUAL WORD RECOGNITION: HYPOTHESIS GENERATION AND TESTING. , 1986 .