SPM_SC
所属分类：模式识别(视觉/语音等)
开发工具：matlab
文件大小：18688KB
下载次数：18
上传日期：2017-03-02 16:38:12
上 传 者：
lanzhou2012
说明： This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper
Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码，用于图像检索，识别与分类
(This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR' 09 paper " Linear Spatial Pyramid Matching using Sparse Coding for Image Classification" . Based on the spatial pyramid matching sparse coding for image retri , identification and classification)
文件列表:
SPM_SC (0, 2017-03-02)
SPM_SC\Results (0, 2017-03-02)
SPM_SC\Results\reg_sc_b1024_20090927T235404.mat (1008653, 2016-07-14)
SPM_SC\dictionary (0, 2017-03-02)
SPM_SC\dictionary\Caltech101_SIFT_Kmeans_1024.mat (18031871, 2016-07-14)
SPM_SC\large_scale_svm (0, 2017-03-02)
SPM_SC\large_scale_svm\lbfgs2.m (4182, 2016-07-14)
SPM_SC\large_scale_svm\li2nsvm_grad.m (2030, 2016-07-14)
SPM_SC\large_scale_svm\li2nsvm_lbfgs.m (1680, 2016-07-14)
SPM_SC\large_scale_svm\li2nsvm_multiclass_fwd.m (311, 2016-07-14)
SPM_SC\large_scale_svm\li2nsvm_multiclass_lbfgs.m (1323, 2016-07-14)
SPM_SC\large_scale_svm\lineSearchWolfe.m (4373, 2016-07-14)
SPM_SC\large_scale_svm\oneofc.m (999, 2016-07-14)
SPM_SC\large_scale_svm\oneofc_inv.m (1020, 2016-07-14)
SPM_SC\large_scale_svm\regurgitate.m (2243, 2016-07-14)
SPM_SC\main.m (4930, 2016-07-14)
SPM_SC\rand_sampling.m (627, 2016-07-14)
SPM_SC\retr_database_dir.m (1494, 2016-07-14)
SPM_SC\sc_approx_pooling.m (2614, 2016-07-14)
SPM_SC\sc_pooling.m (2364, 2016-07-14)
SPM_SC\sift (0, 2017-03-02)
SPM_SC\sift\CalculateSiftDescriptor.m (3655, 2016-07-14)
SPM_SC\sift\sp_find_sift_grid.m (4053, 2016-07-14)
SPM_SC\sift\sp_normalize_sift.m (948, 2016-07-14)
SPM_SC\sparse_coding (0, 2017-03-02)
SPM_SC\sparse_coding\L1QP_FeatureSign_Set.m (339, 2016-07-14)
SPM_SC\sparse_coding\L1QP_FeatureSign_yang.m (1497, 2016-07-14)
SPM_SC\sparse_coding\feature_sign.m (2896, 2016-07-14)
SPM_SC\sparse_coding\getObjective_RegSc.m (308, 2016-07-14)
SPM_SC\sparse_coding\l2ls_learn_basis_dual.m (2282, 2016-07-14)
SPM_SC\sparse_coding\reg_sparse_coding.m (3259, 2016-07-14)
SPM_SC\sparse_coding\sc2 (0, 2017-03-02)
SPM_SC\sparse_coding\sc2\.svn (0, 2017-03-02)
SPM_SC\sparse_coding\sc2\.svn\entries (1600, 2016-07-14)
SPM_SC\sparse_coding\sc2\.svn\format (2, 2016-07-14)
SPM_SC\sparse_coding\sc2\.svn\prop-base (0, 2017-03-02)
SPM_SC\sparse_coding\sc2\.svn\prop-base\cgf_sc2.dll.svn-base (53, 2016-07-14)
SPM_SC\sparse_coding\sc2\.svn\prop-base\cgf_sc2.mexa64.svn-base (53, 2016-07-14)
SPM_SC\sparse_coding\sc2\.svn\prop-base\cgf_sc2.mexglx.svn-base (53, 2016-07-14)
SPM_SC\sparse_coding\sc2\.svn\text-base (0, 2017-03-02)
... ...
These are the numerical recipies routines for conjugate gradient
descent. They have been modified to make the 1d line minimizations
efficient.
frprmn.c: main routine for executing conj. grad.
linmin.c: line minimization algorithm
mnbrak.c: routine for bracketing the minimum
brent.c: finds minimum via Brent's method
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