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Titlebook: Applied Pattern Recognition; Horst Bunke,Abraham Kandel,Mark Last Book 2008 Springer-Verlag Berlin Heidelberg 2008 Markov.Statistica.Wavel

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31#
發(fā)表于 2025-3-26 23:46:55 | 只看該作者
32#
發(fā)表于 2025-3-27 04:50:41 | 只看該作者
33#
發(fā)表于 2025-3-27 05:26:01 | 只看該作者
1860-949X accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new task
34#
發(fā)表于 2025-3-27 11:05:19 | 只看該作者
35#
發(fā)表于 2025-3-27 15:23:14 | 只看該作者
36#
發(fā)表于 2025-3-27 19:13:33 | 只看該作者
37#
發(fā)表于 2025-3-28 01:11:30 | 只看該作者
https://doi.org/10.1007/978-3-642-48598-5 the handwriting features. Our experiments show this novel method, compared with two-dimensional Gabor model, one classic method on off- line, text-independent writer identification, not only achieves much better identifi- cation results but also greatly reduces the elapsed time on calculation.
38#
發(fā)表于 2025-3-28 03:21:47 | 只看該作者
A Wavelet-based Statistical Method for Chinese Writer Identification the handwriting features. Our experiments show this novel method, compared with two-dimensional Gabor model, one classic method on off- line, text-independent writer identification, not only achieves much better identifi- cation results but also greatly reduces the elapsed time on calculation.
39#
發(fā)表于 2025-3-28 06:48:08 | 只看該作者
40#
發(fā)表于 2025-3-28 13:44:37 | 只看該作者
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