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New developments on our real-time recognition engine for isolated handwritten characters are presented. This engine is based on approximate Dynamic Time Warping comparisons with prototypes selected by fast, less accurate classification procedures. The error rate it currently obtains on the standard Pendigits task, 0.60%, is significantly lower than both the error rate of other recently published techniques and the one we obtain from the recognition engine included in the Microsoft Vista operating system.

被引用紀錄


林靜瑜(2016)。含吡唑雙亞硝基鐵錯合物電催化還原水及二氧化碳之研究〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201600340
An, P. P. (2015). 高電催化活性聚吡咯電極於染料敏化太陽能電池之研究 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0508201514081596

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