Zhejiang Province
儿啊……吴凌珑看着异常高大，目光坚硬而又温柔的儿子，颤步走上前去。
Mimi is a Bollywood drama, helmed by Laxman Utekar. The movie stars Kriti Sanon and Pankaj Tripathi and Rakesh Krushna Joshi in the lead roles. The movie is produced by Maddock Films and Jio Studios.
本片荣获2008年阿姆斯特丹奇幻电影节黑郁金香奖、2007年奥斯汀奇幻电影节新浪潮奖
你我都很清楚，这个人在你这里，无论是你还是他，今后都将寸步难移。
明代中叶，御医李鹤龄和锦衣卫杨傲是生死之交，杨傲爱上李鹤龄未婚妻霓裳，为此，栽赃嫁祸李鹤龄强奸了慧妃。为救李鹤龄，霓裳下嫁杨傲。李鹤龄知道霓裳嫁杨傲后，隐姓埋名到山西原仓县开了医馆，自称金胡子。十二年后，金胡子偶然机会和刘福星携手，破了一冤案，将情魔逮捕归案。在调查一巨富杀人案中，金胡子及福星再次携手，查出真凶是杨傲的手下范泰的情妇，范泰为求赎罪，说出当年杨傲陷害李鹤龄的阴谋。金胡子上京为自己平反，与福星联手与已成为“定国大将军”的杨傲展开了斗争，杨傲拥兵自重要挟皇上。为了成全金胡子，霓裳使计调走杨傲的百万大军，杨傲一怒之下将霓裳杀害。金胡子找到杨傲，二人大战。金胡子用金针找到他的罩门并将他置于死地，为自己冤案平反。李鹤龄谢绝了在宫中当首席御医，福星放弃了迎娶郡主的机会，二人一起闯荡江湖，扶贫济困。
不管是仇人还是陌生人，最后都会被她所用，她正一步步走出困境，走向高处。
一群心怀济世理想的少年人在刺客学苑中苦修武艺，纷纷盼望完成学苑试炼，离苑行侠仗义。排行第一的学霸少女韩小楚首个获得试炼机会，眼看就能出师，却被吊儿郎当的废柴同学龙辟邪干扰，于最终试炼中失利。紧接着，一系列惊悚事件接连发生：试炼突然变成危及性命的追杀、废柴龙辟邪其实是武功绝顶的高手、追杀他们的人是学苑教师，而当死里逃生的韩小楚一觉醒来，却发现她唯一可以依靠的龙辟邪神秘失踪
所谓南巡，其实就是让皇帝先逃跑，留得青山在不怕没柴烧。
2013成都财富全球论坛嘉宾、《功夫熊猫2》的导演余仁英，在论坛现场首次展示了《功夫熊猫3》中的全新人物造型：一个穿着红色中国风（类似于汉唐服饰）的母熊猫。
一个人身上竟然可以表现出风情万种、娇柔妩媚、冷峻霸气、淡然从容、潇洒恣肆、端庄从容等等诸多特质。
Imagine a scene where there is an electric lamp with only one switch on it. When the light is on, press the switch at this time and the light will switch to the off state. Press the switch again and the light will be turned on again. The behavior of the same switch button is different in different states.
尽管有巨额悬赏和全球搜捕，一些十恶不赦的罪犯还是逃脱了追捕。这部纪录片介绍了数名全球头号通缉犯。
天启说，《佛本是道》会打造出一个史无前例的洪荒世界。
The "Special Provisions on Labor Protection for Female Workers" clearly stipulates that female workers enjoy 98 days of maternity leave, of which 15 days can be taken before childbirth. In case of dystocia, maternity leave shall be increased by 15 days; For those who have multiple births, the maternity leave will be increased by 15 days for each additional baby.
丁大人……杨长帆发挥演技，尽量让眼眶通红，出家门前，我娘说外面都是坏人，可现在看不是，至少丁大人是好人。
照这行程算，两日工夫就能到下塘集。
丛昕施计逼令甘枫加入安妮医院，再找上昔日战友心胸肺外科医生章以芯（锺嘉欣饰）、外科主管麦海琪（周家怡饰）打造出一支完美团队，目的只为拼凑心中蓝图，为兴建香港第一所“儿科中心”铺路。 经历一个个病童的生死故事，令原本势成水火的丛昕与甘枫逐渐解开心结。
周浩见状冷笑道：放心好了，我不会骗你们的，刚才和尹旭动手的那位我府家将，曾是楚国令尹宋义的护卫，他之前和尹旭交过手。
Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.
