Sentence examples for using the learned functions from inspiring English sources

Next, we describe how new networks are constructed using the learned functions.

At runtime, we first perform staircase-sensitive Laplacian filter on an input MC (Marching Cubes) mesh, and then filter the mesh facet normal field using the learned regression functions, and finally deform it to match the new normal field for obtaining a compact approximation of the high-resolution reference model.

We define a sparsity prior using the learned sparseness of disparities and incorporate this prior in addition to IGMRF prior in our energy function.

We first obtained the disparity map when E F (d) is defined using the learned features of first layer only.

We propose to use a feature matching cost which is defined using the learned hierarchical features of given left and right stereo images and we combine it with the pixel-based intensity matching cost in our energy function.

Therefore, a 3-D FLC can be established using the learned results of a SVR.

Next, the results are obtained when E F (d) is defined using the learned features of both first and second layers.

Using the learned pattern from this training set, age was predicted on the temporary test set.

Second, the bnc module makes predictions on new examples using the learned network and CPDs.

Learning in SSS is performed using these labels, and the edges of the network are weighted using the learned models.

We evaluated detection time and spatial accuracy using the learned graphs for these simulated injects (Fig. 1).