数据库系统课程实验五(exercise9)参考答案,仅供学习参考使用 Exercise 9 Programming with Transactions 事务编程
2021-06-18 22:32:47 3KB SSD
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CMU的人脸库,源文件是若干个.mat文件,我将.mat文件中的图像文件都提取了出来,由于CSDN的大小限制,便没有将.mat文件放在这里,这里都是.jpg文件
2021-05-30 12:23:41 11.4MB cmu pie人脸库
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这是卡内基梅隆大学的公开人脸测试集。测试集共分四个文件夹,分别为测试集A、B、C和旋转测试集。由于大小限制,因此将四个文件夹分开上传 The image dataset is used by the CMU Face Detection Project and is provided for evaluating algorithms for detecting frontal views of human faces. This particular test set was originally assembled as part of work in Neural Network Based Face Detection. It combines images collected at CMU and MIT. Please give appropriate acknowledgements when you use these test sets. In the lists of files below, you will find references to Test Sets A, B, C and the Rotated Test Set. Test Set B was provided by Kah-Kay Sung and Tomaso Poggio at the AI/CBCL Lab at MIT, and Test Sets A,C and the rotatated test set were collected here at CMU (by Henry A. Rowley, Shumeet Baluja, and Takeo Kanade). In [Schneiderman and Kanade, 2000] and [Schneiderman and Kanade, 1998] we refer to the combination of test sets A, B, and C as the "combined test sets of Sung and Poggio and Rowley, Baluja, and Kanade." In [Rowley, Baluja, and Kanade, 1998] we refer to the combination of sets A, B, C as "test set one" and in [Rowley, Baluja, and Kanade, 1997] we refer to it as the "upright set" as distinguished from the "rotated set."
2021-05-18 19:56:47 13.69MB cmu mit 人脸检测 人脸
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CMU的人脸数据集,分为3个文件夹,像素是32*32,和64*64,可以做分辨率处理,10000多张图片满足论文和科研要求。
2021-04-28 20:30:17 12.54MB 人脸识别 CMU数据集 人脸图像数据库
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这个资源是cmu美国卡耐基梅隆大学的cachelab的parta,深入理解计算机系统,高速缓存命中
2021-04-28 15:23:19 5KB cmu csapp cachelab parta
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CMU-15-445:CMU的数据库系统课程
2021-04-27 13:12:22 2.62MB database cpp11 sqlite3 cmu
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CMU CSAPP课程全套PPT 深入理解计算机系统配套PPT 欢迎下载学习
2021-04-20 22:14:58 37.96MB CMU PPT CSAPP
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CMU 95-865:非结构化数据分析 该存储库包含卡内基梅隆大学的课程的课程。 本课程是CMU亨氏学院一部分。
2021-04-19 10:40:31 24.75MB JupyterNotebook
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CMU CSAPP课件
2021-03-23 08:53:11 21.67MB CSAPP CMU
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内含CMU_PIE人脸数据集,来自68个人的40000张照片,其中包括了每个人的13种姿态条件,43种光照条件和4种表情下的照片。共有5种pose,用于训练测试,亲测不错
2021-03-21 10:56:45 19.68MB re
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