文件名称：《Memorability of Image Regions》（2012）
文件大小：722KB
文件格式：ZIP
更新时间：2017-09-27 03:02:10
概率框架
In this work, we propose a probabilistic framework that models how and which local regions from an image may be forgotten using a data-driven approach that combines local and global images features.
【文件预览】：
feature-extraction-f007bd58796cdd7d0729223a2ee7ecb91b4a8e17
----features()
--------color()
--------gist()
--------sift()
--------ssim()
--------hog3x3()
--------hog2x2()
--------lbp()
----compile.m(582B)
----demo.m(497B)
----LICENSE.md(1KB)
----README.md(159B)
----util()
--------LLC_coding_appr.m(1KB)
--------imgread.m(506B)
--------batch_feature.m(2KB)
--------max_pooling.m(2KB)
--------getComputerName.m(474B)
--------maxIdx.m(335B)
--------filelist_feature.m(1KB)
--------pixelwise_hog31.mexa64(13KB)
--------kmeansFast()
--------datasets_feature.m(1009B)
--------pixelwise_hog31.mexmaci(17KB)
--------conf.m(1KB)
--------getIdxY.m(417B)
--------getIdxX.m(396B)
--------extract_feature.m(439B)
--------parsaveFeat.m(364B)
--------openPool.m(383B)
--------llc_feature.m(436B)
--------make_dir.m(382B)
--------pixelwise_hog31.cc(7KB)
--------vprintf.m(343B)
--------create_grid.m(652B)
--------load_feature.m(1KB)
--------build_dictionary.m(3KB)
--------sp_dist2.m(950B)
--------pixelwise_hog31.mexmaci64(13KB)