D = with D_c being the c-th class-specific dictionary. Syntax: = SRC_pred(Y, D, D_range, opts).Sparse Representation-based classification implementation.Sparse Representation-based classification (SRC) D_range: similar to Y_range but used for dictionary without the shared dictionary.k_0: number of bases in the shared-dictionary.Typically, all n_c are the same and equal to k. k_c: number of bases in class-specific dictionary c.We can observe that number of classes C = numel(Y_range) - 1.In general, samples from class c range from Y_range(c) + 1 to Y_range(c+1).There are two classes, samples from class 1 range from 1 to 10, from class 2 range from 11 to 25.Y_range: an array storing range of each class, suppose that labels are sorted in a ascending order.Typically, all n_c are the same and equal to n. n_c: number of training samples in class c.Fast iterative shrinkage-thresholding algorithm (FISTA).Discriminative Feature-Oriented dictionary learning (DFDL).Fisher discrimination dictionary learning (FDDL).Dictionary learning for separating the particularity and the commonality (COPAR).Dictionary learning with structured incoherence and shared features (DLSI).Sparse Representation-based classification (SRC).I'd really appreciate and fix the error ASAP. If you experience any bugs, please let me know via the Issues tab. "Learning a low-rank shared dictionary for object classification." International Conference on Image Processing (ICIP) 2016. "Fast Low-rank Shared Dictionary Learning for Image Classification." to appear in IEEE Transactions on Image Processing. This Toolbox is a part of our LRSDL project. If ‘row’, write 1-D NumPy arrays as row vectors.This repo is no longer maintained! DICTOL - A Discriminative dictionary Learning Toolbox for Classification (MATLAB version). If ‘column’, write 1-D NumPy arrays as column vectors. mdict dictĭictionary from which to save matfile variables. mat file (.mat extension not needed if appendmat = True).Ĭan also pass open file_like object. Parameters file_name str or file-like object This saves the array objects in the given dictionary to a MATLAB. Save a dictionary of names and arrays into a MATLAB-style. savemat ( file_name, mdict, appendmat = True, format = '5', long_field_names = False, do_compression = False, oned_as = 'row' ) ¶ Statistical functions for masked arrays ( K-means clustering and vector quantization (
0 kommentar(er)
