Auto Topic: discontinuities
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textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... ghbors. (Here we are using k =3.). A larger value of k tends to smooth out the magnitude of the spikes, although the resulting function has discontinuities. Figure 19.20 shows two versions of k- nearest-neighbors regression. In (b), we have the k-nearest-neighbors average: h(x) i ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... d doesn’t require any knowledge about what is 996 Chapter 27 Computer Vision 1 2 4 2 1 1 3 Figure 27.6 Different kinds of edges: (1) depth discontinuities; (2) surface orientation dis- continuities; (3) reflectance discontinuities; (4) illumination discontinuities (shadows). in th ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | gression (Figure 19.20(d)) gives us the advantages of nearest neigh- Locally weighted regression bors, without the discontinuities. To avoid discontinuities in h(x), we need to avoid disconti- nuities in the set of examples we use to estimateh(x). The idea of locally weighted reg ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... on, as in Figure 27.6. Effects in the scene very often result in large changes in image intensity, and so produce edges in the image. Depth discontinuities (labeled 1 in the figure) can cause edges because when you cross the discontinuity, the color typically changes. When the sur ... |