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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 35 1 Tapping into non-English-language science for the conservation of global biodiversity Amano T.; Berdejo-Espinola V.; Christie A.P.. - 2021 BASE Show details 2 In Other Words: What’s Happened to Metaphors in the Translation of Political Texts. Liu, Y.; Wang, C.. - : IGI Global, 2021 BASE Show details 3 In Other Words: What’s Happened to Metaphors in the Translation of Political Texts Liu, Y.; Wang, C.. - : IGI Global, 2021 BASE Show details 4 DGST : a dual-generator network for text style transfer Li, X.; Chen, G.; Lin, C.. - : Association for Computational Linguistics (ACL), 2020 BASE Show details 5 On the general value of evidence, and bilingual scene-text visual question answering Jin, L.; Ng, C.C.; Wang, X.... In: https://ieeexplore.ieee.org/xpl/conhome/9142308/proceeding (2020) BASE Show details 6 Extractive and abstractive sentence labelling of sentiment-bearing topics Barawi, M.H.; Lin, C.; Siddharthan, A.. - : Higher Education Press, China, 2019 BASE Show details 7 Facial feature discovery for ethnicity recognition Wang, C.; Zhang, Q.; Liu, Wan-Quan; Liu, Y.; Miao, L.. - 2018 Abstract: The salient facial feature discovery is one of the important research tasks in ethnical group face recognition. In this paper, we first construct an ethnical group face dataset including Chinese Uyghur, Tibetan, and Korean. Then, we show that the effective sparse sensing approach to general face recognition is not working anymore for ethnical group facial recognition if the features based on whole face image are used. This is partially due to a fact that each ethnical group may have its own characteristics manifesting only in specified face regions. Therefore, we will analyze the particularity of three ethnical groups and aim to find the common characterizations in some local regions for the three ethnical groups. For this purpose, we first use the facial landmark detector STASM to find some important landmarks in a face image, then, we use the well-known data mining technique, the mRMR algorithm, to select the salient geometric length features based on all possible lines connected by any two landmarks. Second, based on these selected salient features, we construct three “T” regions in a face image for ethnical feature representation and prove them to be effective areas for ethnicity recognition. Finally, some extensive experiments are conducted and the results reveal that the proposed “T” regions with extracted features are quite effective for ethnical group facial recognition when the L2-norm is adopted using the sparse sensing approach. In comparison to face recognition, the proposed three “T” regions are evaluated on the olivetti research laboratory face dataset, and the results show that the constructed “T” regions for ethnicity recognition are not suitable for general face recognition. This article is categorized under: Algorithmic Development > Structure Discovery Algorithmic Development > Biological Data Mining Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Classification. URL: https://doi.org/10.1002/widm.1278 http://hdl.handle.net/20.500.11937/71484 BASE Hide details 8 Correction to: Gene mutation spectrum and genotype-phenotype correlation in a cohort of Chinese osteogenesis imperfecta patients revealed by targeted next generation sequencing [<Journal>] Liu, Y. [Verfasser]; Asan [Sonstige]; Ma, D. [Sonstige]. DNB Subject Category Language Show details 9 Supplementary Material for: Diagnostic Accuracy of Combinations of Tumor Markers for Malignant Pleural Effusion: An Updated Meta-Analysis ... Yang, Y.; Liu, Y.-L.; Shi, H.-Z.. - : Karger Publishers, 2017 BASE Show details 10 Supplementary Material for: Diagnostic Accuracy of Combinations of Tumor Markers for Malignant Pleural Effusion: An Updated Meta-Analysis ... Yang, Y.; Liu, Y.-L.; Shi, H.-Z.. - : Karger Publishers, 2017 BASE Show details 11 Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text] Sirunyan, A. M.; Tumasyan, A.; Adam, W.. - : Springer Berlin Heidelberg, 2017 BASE Show details 12 A physiognomy based method for facial feature extraction and recognition Liu, Y; Huang, ML; Huang, W. - : Academic Press Ltd Elsevier Science Ltd, 2017 BASE Show details 13 The Sheffield Wargame Corpus - day two and day three Liu, Y; Fox, C; Hasan, M. - : ISCA, 2016 BASE Show details 14 The Sheffield Wargame Corpus - Day two and day three Liu, Y.; Fox, C.; Hasan, M.. - : ISCA, 2016 BASE Show details 15 Knowledge Author: Facilitating user-driven, Domain content development to support clinical information extraction Scuba, W; Tharp, M; Mowery, D. - 2016 BASE Show details 16 The neural basis of deictic shifting in linguistic perspective-taking in high-functioning autism ... Just, M; Minshew, N; Keller, T. - : NIMH Data Archive, 2015 BASE Show details 17 Лексика с семой запах в русском и китайском языках : магистерская диссертация ; Words with semantics smell in Russian and Chinese languages Liu, Y.; Лю, Я.. - 2015 BASE Show details 18 Developmental changes in the role of different metalinguistic awareness skills in Chinese reading acquisition from preschool to third grade Wei, T-Q; Bi, H-Y; Chen, B-G. - : Public Library of Science, 2014 BASE Show details 19 Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data. Aad, G; Abbott, B; Abdallah, J... In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014) BASE Show details 20 Spoken Language Understanding - Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression Liu, F; Liu, Y In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 7, 1469-1480 OLC Linguistik Show details Page: 1 2

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