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随着教育部关于进一步规范非全日制研究生招生工作有关文件的颁布,非全日制研究生招生改革拉开了序幕。通过分析我国非全日制研究生招生工作在计划管理、生源组织、考核录取等方面的变化及存在问题（如招生计划与实际需求不匹配、有效生源不足、入学考试方式单一等）,借鉴美国非全日制研究生招生模式,对建立有利于高层次应用型人才脱颖而出的非全日制研究生招生选拔模式提出对策性建议。 相似文献
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ＩＮＴＲＯＤＵＣＴＩＯＮＩｍａｇｅｓｃｏｎｔａｉｎｉｎｇｆａｃｅｓａｒｅｅｓｓｅｎｔｉａｌｆｏｒｉｎ ｔｅｌｌｉｇｅｎｔｖｉｓｉｏｎ ｂａｓｅｄｈｕｍａｎｃｏｍｐｕｔｅｒｉｎｔｅｒａｃ ｔｉｏｎ .Ｆａｃｅｐｒｏｃｅｓｓｉｎｇｍｅｔｈｏｄｓｉｎｃｌｕｄｅｔｈｏ 相似文献
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A color based system using multiple templates was developed and implemented for detecting human faces in color images. The
algorithm consists of three image processing steps. The first step is human skin color statistics. Then it separates skin
regions from non-skin regions. After that, it locates the frontal human face(s) within the skin regions. In the first step,
250 skin samples from persons of different ethnicities are used to determine the color distribution of human skin in chromatic
color space in order to get a chroma chart showing likelihoods of skin colors. This chroma chart is used to generate, from
the original color image, a gray scale image whose gray value at a pixel shows its likelihood of representing the skin. The
algorithm uses an adaptive thresholding process to achieve the optimal threshold value for dividing the gray scale image into
separate skin regions from non skin regions. Finally, multiple face templates matching is used to determine if a given skin
region represents a frontal human face or not. Test of the system with more than 400 color images showed that the resulting
detection rate was 83%, which is better than most color-based face detection systems. The average speed for face detection
is 0.8 second/image (400×300 pixels) on a Pentium 3 (800 MHz) PC.
Project (No. 60203013) supported by National Natural Science Foundation of China 相似文献
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