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From Contact to Stalemate: MAPK-Associated Chemical and Enzymatic Defenses Shape a Stable Barrage in the Co-Culture of <i>Trametes</i> sp. D and <i>Aspergillus niger</i> L14. [PDF]
Ying J, Zhang H.
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Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles. [PDF]
Ali A +5 more
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Purification of Hog Renin. Properties of Purified Hog Renin
Scandinavian Journal of Clinical and Laboratory Investigation, 1972Hog kidneyswere minced, lyophilized, extracted with acetone/water, and the extract was gel-filtrated. The partly purified renin was used for analytical ultracentrifugation and for electrofocusing. By these methods the molecular weight of renin was determined to be 4 × 104g/M.
I Rubin
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Current Biology, 2021
Manon de Visser and colleagues introduce the rarest and smallest wild pig species, the pygmy hog (Porcula salvania).
de Visser, Manon +2 more
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Manon de Visser and colleagues introduce the rarest and smallest wild pig species, the pygmy hog (Porcula salvania).
de Visser, Manon +2 more
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2008 IEEE Virtual Reality Conference, 2008
This paper presents a new interaction metaphor for mixed space collaboration: HOG on a WIM. Hand of god (HOG) on a world in miniature (WIM) is the first collaborative WIM. It enables a table-top display user to collaborate with a virtual reality (VR) user.
Aaron Stafford +2 more
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This paper presents a new interaction metaphor for mixed space collaboration: HOG on a WIM. Hand of god (HOG) on a world in miniature (WIM) is the first collaborative WIM. It enables a table-top display user to collaborate with a virtual reality (VR) user.
Aaron Stafford +2 more
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CS-HOG: Color similarity-based HOG
The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2013Conventional object detection methods often use local features based on object shape, of which the HOG feature is typical. In recent years, Color Self-Similarity (CSS) has been proposed as a local feature that uses color information. CSS involves computing color similarity as a basis for deciding the sameness of objects, and thus represent a feature ...
Yuhi Goto +2 more
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2011 Third International Conference on Knowledge and Systems Engineering, 2011
we study the feature set for object recognition problem, and use human detection as a test case. We propose two improvements based on HOG model which are Spatial Selective Method and Multi-level Method. In Spatial Selective One, we use HOG descriptor to extract feature vector from image window, but we shorten the feature vector size by eliminating less
Linh Dang +4 more
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we study the feature set for object recognition problem, and use human detection as a test case. We propose two improvements based on HOG model which are Spatial Selective Method and Multi-level Method. In Spatial Selective One, we use HOG descriptor to extract feature vector from image window, but we shorten the feature vector size by eliminating less
Linh Dang +4 more
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