代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/176315/9505011

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/174648/9578992

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/296830/8075538

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/247107/12683243

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/241977/13106643

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/126676/14407592

c fisherclassify.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/459705/1566106

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/199399/5077459

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/341380/3252128

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte
www.eeworm.com/read/418098/2092462

c usps.c

/*Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数 * *struct Sample *{ * double data[RAWDATADIM]; //一个点的数据为8 byte