Li et al., 2016 - Google Patents
Handwritten digit recognition via active belief decision treesLi et al., 2016
- Document ID
- 1664661328724932375
- Author
- Li Z
- Ma L
- Ke X
- Wang Y
- Publication year
- Publication venue
- 2016 35th Chinese Control Conference (CCC)
External Links
Snippet
Considering uncertainty within the learning methods is attracting more and more attentions in recent years, yet not much work has been done when it comes to the area of handwritten digit recognition. In this paper, the active belief decision tree is used to handle the epistemic …
- 238000000605 extraction 0 abstract description 14
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
- G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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- G06K9/6279—Classification techniques relating to the number of classes
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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- G—PHYSICS
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
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