公开(公告)号：US10460201B2

公开(公告)日：2019-10-29

申请号：US14985803

申请日：2015-12-31

申请人： Microsoft Technology Licensing, LLC

发明人： Eyal Krupka ,  Aharon Bar Hillel

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/66 ,  G06F16/583

摘要： A computer implemented method of training an image classifier, comprising: receiving training images data labeled according to image classes; selecting reference points of the images; and constructing a set of voting convolutional tables and binary features on a patch surrounding each reference point by performing, for each calculation stage: creating a voting table by: creating first candidate binary features; calculating a global loss reduction for each first candidate binary feature; selecting one first candidate binary feature having minimal global loss reduction; and repeating to select stage-size binary features; and performing a tree split using the voting table by: creating second candidate binary features; calculating a combined loss reduction for each stage-split size group of the second candidate binary features; selecting one of the groups having a maximal combined loss reduction; and creating a child-directing table using the selected binary features.