The cross-product between two 3xm matrices (C = cross(A,B)) is calculated as follows - 1.) For the third row of resultant matrix C, element-wise product of second row of A and first row of B is subtracted from element-wise product of first row of A and second row of B ...
Our strategy employed non-smooth NMF, a variant, which approximates the data using the basis and coefficient matrices as above with the addition of a third smoothing matrix which serves to absorb noise within the data, thus driving the coefficient and basis matrices to increase sparseness. The ...
The lasso procedure pervades the statistical and signal processing literature, and as such, is the target of substantial theoretical and applied research.
# 需要导入模块: import tensorflow [as 别名]# 或者: from tensorflow importcross[as 别名]defcompute_tri_normal(vertex,tri, vertex_tri):# Unit normals to the faces# vertex : 3xvertex_num# tri : 3xtri_numvertex = tf.transpose(vertex) vt1_indices, vt2_indices, vt3_indices = tf.split(tf...