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Estimating partial derivatives

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  • Lecture Digital image processing - Chapter 8: Image segmentation provide students with content about: element of image analysis; importance of image segmentation; spatial filtering application to shape detection; derivative based edge detection; noisy edges and derivatives; masks for estimating partial derivatives;... Please refer to the detailed lecture content!

    pdf121p diepkhinhchau 18-09-2023 7 5   Download

  • Multi-spectral and multi-directional data acquired during the ReSeDA experiment thanks to the airborne PolDER sensor were used to retrieve surface albedo over the experimental site, for 16 days over the year 1997. The data were available in four wave-bands (10 or 20 nm width) centered at 443 nm, 550 nm, 670 nm, and 865 nm. Zenith view angles ranged from 0 to 50 o. This study aimed at evaluate a procedure based on the use of multi-directional and multi-spectral information to retrieve surface albedo. Multidirectional information was extracted thanks to BRDF kerneldriven models.

    pdf7p kien098 16-10-2019 21 0   Download

  • We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as a small amount of manually crafted sentence labels, to learn sentence-level sentiment classifiers. The proposed model is a fusion of a fully supervised structured conditional model and its partially supervised counterpart. This allows for highly efficient estimation and inference algorithms with rich feature definitions. ...

    pdf6p hongdo_1 12-04-2013 60 3   Download

  • Partial differential equations (PDEs) are very important in modelling as their solutions unlock the secrets to a range of important phenomena in engineering and physics. The PDE known as the wave equation models sound waves, light waves and water waves. It arises in fields such as acoustics, electromagnetics and fluid dynamics.

    pdf114p sofia11 25-05-2012 90 12   Download

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