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樓主: Buchanan
31#
發(fā)表于 2025-3-27 00:50:48 | 只看該作者
On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognitionres are based on topological graphs computed from segments which are extracted from the symbol images by using an adapted Hough transform. These structural signatures, which can be seen as dynamic paths which carry high level information, are robust towards various transformations. They are classifi
32#
發(fā)表于 2025-3-27 01:13:59 | 只看該作者
A Discriminative Representation for Symbolic Image Similarity Evaluationf an image and how to describe the information with an intermediate representation, namely, image representation, because the image representation has great influence on the efficiency and performance of the similarity evaluation. In this paper, we focus on the domain of symbolic image recognition a
33#
發(fā)表于 2025-3-27 05:16:59 | 只看該作者
34#
發(fā)表于 2025-3-27 11:56:38 | 只看該作者
35#
發(fā)表于 2025-3-27 16:24:56 | 只看該作者
36#
發(fā)表于 2025-3-27 20:24:59 | 只看該作者
A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEGof both local and global features are used to represent and index concave and convex object shapes. These features are size, rotation, and translation invariant. The index is saved into an XML database conforming to the MPEG7 standard. Our system contains a graphical user interface that allows a use
37#
發(fā)表于 2025-3-27 22:36:57 | 只看該作者
38#
發(fā)表于 2025-3-28 04:36:40 | 只看該作者
39#
發(fā)表于 2025-3-28 06:34:08 | 只看該作者
40#
發(fā)表于 2025-3-28 11:39:41 | 只看該作者
Using Error Recovery Techniques to Improve Sketch Recognition Accuracyammatic sketch recognizer that is able to cope with the recognition of in-accurate hand-drawn symbols by exploiting error recovery techniques as developed for programming language compilers. The error recovery algorithms are able to interact with recognizers automatically generated from grammar spec
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