Results 181 to 190 of about 1,556,418 (219)
Novel cross-dimensional coarse-fine-grained complementary network for image-text matching. [PDF]
Liu M, Khairuddin ASM, Hasikin K, Liu W.
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Precision Oncology Program (POP), an observational study using real-world data and imaging mass cytometry to explore decision support for the Molecular Tumor Board: study protocol. [PDF]
Boos LA+27 more
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Matching-adjusted indirect comparisons of efficacy outcomes between etrasimod and ozanimod for moderately to severely active ulcerative colitis. [PDF]
Jairath V+8 more
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Infrared camouflage in leaf-sitting frogs: a cautionary tale on adaptive convergence. [PDF]
Stuart-Fox D+4 more
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To match or not to match [PDF]
Modern online advertising increasingly relies on the ability to follow the same user across the Internet using technology called cookie matching to increase efficiency in ad allocation. Web publishers today use this technology to share information about the websites a user has visited, making it possible
VassilvitskiiSergei+3 more
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Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing, 1993The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions.
S. Mallat, Zhifeng Zhang
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2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems, 2013
This paper presents the first steps toward a graph comparison method based on matching matchings, or in other words, comparison of independent edge sets in graphs. The novelty of our approach is to use matchings for calculating distance of graphs in case of edge-colored graphs.
Zsolt Tuza, Gábor Bacsó, Anita Keszler
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This paper presents the first steps toward a graph comparison method based on matching matchings, or in other words, comparison of independent edge sets in graphs. The novelty of our approach is to use matchings for calculating distance of graphs in case of edge-colored graphs.
Zsolt Tuza, Gábor Bacsó, Anita Keszler
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Video Google: a text retrieval approach to object matching in videos
Proceedings Ninth IEEE International Conference on Computer Vision, 2003We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed ...
Josef Sivic, Andrew Zisserman
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