Joint induction of shape features and tree classifiers

作者: Y. Amit , D. Geman , K. Wilder

DOI: 10.1109/34.632990

关键词: SalientNonlinear systemPattern recognitionBinary numberAffine transformationFeature extractionContextual image classificationMathematicsInvariant (mathematics)Word error rateArtificial intelligence

摘要: … dimensional shapes. The salient ones for separating particular shapes are determined by inductive … Different trees correspond to different aspects of shape. They are statistically weakly …

参考文章(26)
R Allen Wilkinson, Jon Geist, Stanley Janet, Patrick J Grother, Christopher J C Burges, Robert Creecy, Bob Hammond, Jonathan J Hull, Norman L Larsen, Thomas P Vogl, Charles L Wilson, The First Census Optical Character Recognition Systems Conference | NIST NIST Interagency/Internal Report (NISTIR) - 4912. ,(1992) , 10.6028/NIST.IR.4912
Suk Wah Kwok, Chris Carter, Multiple decision trees uncertainty in artificial intelligence. ,vol. 9, pp. 327- 338 ,(1990) , 10.1016/B978-0-444-88650-7.50030-5
Joseph L. Mundy, Andrew Zisserman, Geometric invariance in computer vision MIT Press. ,(1992)
Richard A Olshen, Charles J Stone, Leo Breiman, Jerome H Friedman, Classification and regression trees ,(1983)
T. G. Dietterich, G. Bakiri, Solving multiclass learning problems via error-correcting output codes Journal of Artificial Intelligence Research. ,vol. 2, pp. 263- 286 ,(1994) , 10.1613/JAIR.105
Qing Ren Wang, Ching Y. Suen, Analysis and Design of a Decision Tree Based on Entropy Reduction and Its Application to Large Character Set Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-6, pp. 406- 417 ,(1984) , 10.1109/TPAMI.1984.4767546
ZS M Kovács-V, Roberto Guerrieri, None, Massively-parallel handwritten character recognition based on the distance transform Pattern Recognition. ,vol. 28, pp. 293- 301 ,(1995) , 10.1016/0031-3203(94)00099-8
Kyugon Cho, S.M. Dunn, Learning shape classes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 16, pp. 882- 888 ,(1994) , 10.1109/34.310683