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Titlebook: Information Retrieval Technology; 4th Asia Information Hang Li,Ting Liu,Guodong Zhou Conference proceedings 2008 Springer-Verlag Berlin Hei

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發(fā)表于 2025-3-27 00:34:41 | 只看該作者
32#
發(fā)表于 2025-3-27 03:41:03 | 只看該作者
33#
發(fā)表于 2025-3-27 07:09:04 | 只看該作者
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發(fā)表于 2025-3-27 12:05:23 | 只看該作者
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發(fā)表于 2025-3-27 14:32:06 | 只看該作者
Discrimination of Ventricular Arrhythmias Using NEWFMresents a novel method for detecting normal sinus rhythm (NSR), VF, and VT from the MIT/BIH Malignant Ventricular Arrhythmia Database using the neural network with weighted fuzzy membership functions (NEWFM). This paper separates pre-processing into 2 steps. In the first step, ECG beasts are transfo
36#
發(fā)表于 2025-3-27 19:32:49 | 只看該作者
37#
發(fā)表于 2025-3-28 01:02:42 | 只看該作者
Domain Adaptation for Conditional Random Fieldsntered in practice is that the test data’s domain is different with the training data’s. It would affect negatively the performance of CRFs. This paper presents a novel technique for maximum a posteriori (MAP) adaptation of Conditional Random Fields model. The background model, which is trained on d
38#
發(fā)表于 2025-3-28 06:09:03 | 只看該作者
0302-9743 ese language processing, text processing, application of IR, machine learning, taxonomy, IR methods, information extraction, summarization, multimedia, Web IR, and text clustering.978-3-540-68633-0978-3-540-68636-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
39#
發(fā)表于 2025-3-28 09:09:56 | 只看該作者
Semantic Discriminative Projections for Image Retrievalapped. This gives rise to kernel SDP. We investigate extensive experiments to verify the effectiveness of our approach. Experimental results show that our approach achieves better retrieval performance than state-of-art methods.
40#
發(fā)表于 2025-3-28 10:34:03 | 只看該作者
Comparing Dissimilarity Measures for Content-Based Image Retrieval experimental results, we have drawn a number of observations and insights on dissimilarity measurement in content-based image retrieval, which will lay a foundation for developing more effective image search technologies.
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