蛙鸣声
发表于 2025-3-26 21:51:21
https://doi.org/10.1007/978-3-319-48296-5of scaling and rotation. The algorithm works in time .(....) for patterns of size .. and texts of size ... Our method can also be applied to the image matching problem, the well known issue in the image processing research.
勋章
发表于 2025-3-27 03:50:23
Xiaofei Zhang,Xitong Guo,Kee-hung Lai,Yi Wurrences. To assess the practicability of our method, we apply it to the Prosite database of amino acid motifs and to the Jaspar database of transcription factor binding sites. Regarding the latter, we additionally show that our framework permits to take binding affinities predicted from a physical model into account.
吞吞吐吐
发表于 2025-3-27 07:33:57
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judicial
发表于 2025-3-27 12:21:09
Analyzing mHeath Usage Using the mPower Datacontexts we explored for this work. These newly discovered cycle properties allow us to quickly compute the longest common prefix (LCP) between any pair of adjacent .-order contexts that may belong to two different cycles, leading to the proposed linear inverse ST algorithm.
马笼头
发表于 2025-3-27 14:35:06
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捕鲸鱼叉
发表于 2025-3-27 19:06:32
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可触知
发表于 2025-3-28 00:24:57
Two-Dimensional Pattern Matching with Combined Scaling and Rotationof scaling and rotation. The algorithm works in time .(....) for patterns of size .. and texts of size ... Our method can also be applied to the image matching problem, the well known issue in the image processing research.
蚀刻
发表于 2025-3-28 04:15:33
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轻信
发表于 2025-3-28 06:22:32
A Black Box for Online Approximate Pattern Matchingcal measures such as the .. and .. norms. For these examples, the resulting online algorithms take .(log..), ., .(log../..), ., .(log..) and . time per character respectively. The space overhead is .(.) which we show is optimal.
capsaicin
发表于 2025-3-28 13:44:33
Computing Inverse ST in Linear Complexitycontexts we explored for this work. These newly discovered cycle properties allow us to quickly compute the longest common prefix (LCP) between any pair of adjacent .-order contexts that may belong to two different cycles, leading to the proposed linear inverse ST algorithm.