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Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw

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發(fā)表于 2025-3-23 13:36:54 | 只看該作者
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發(fā)表于 2025-3-23 15:46:56 | 只看該作者
Combining Filter Bank and KSH for Image Retrieval in Bone Scintigraphyd features, which can convert images to hashing codes. We can obtain the most similar retrieval images by comparing Hamming distance of these hashing codes. We evaluate the proposed framework quantitatively on the testing dataset and compare it with other methods.
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發(fā)表于 2025-3-23 21:00:21 | 只看該作者
Conference proceedings 2020cations of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing..
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發(fā)表于 2025-3-24 01:36:52 | 只看該作者
0302-9743 and applications of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing..978-3-030-63829-0978-3-030-63830-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-24 02:34:41 | 只看該作者
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發(fā)表于 2025-3-24 07:52:00 | 只看該作者
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發(fā)表于 2025-3-24 13:02:47 | 只看該作者
Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbt. The widely used sequential matching models match a response candidate with each utterance in the conversation context through a representation-interaction-aggregation framework, but do not pay enough attention to the inter-utterance dependencies at the representation stage and global information
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發(fā)表于 2025-3-24 15:02:45 | 只看該作者
Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Deen used in code-switching (CS) TTS and performs well on naturalness, intelligibility and speaker consistency. However, existing systems rely on skillful bilingual speakers to build a CS mix-lingual data set with a high Language-Mix-Ratio (LMR), while simply mixing monolingual data sets results in a
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發(fā)表于 2025-3-24 21:58:40 | 只看該作者
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發(fā)表于 2025-3-25 02:31:32 | 只看該作者
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