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    9/30/2009

    失去之后才知道可惜……

    Candes走了,我才又一次(已经不知道是第几次了)发现他的研究是如此高瞻远瞩。现在愈发后悔为什么当初没在Candes家做一个学期的rotation呢……竟然跑去训猴……
    所幸的是,还和他的一个学生保持着联系,希望可以从他那学来一点精髓的思想。

    最近两周不得不看大量传统CV的工作,95%的papers是把一个视觉问题转化为一个优化问题然后用通用的优化算法求解。这种文章看一两篇(如果纯考虑应用的方法论,不如直接去看LeCun或Bengio的那些framework文章)还能忍,看多了智力实在下降得快*


    必须不断找机会聆听智者的教诲,才能在初秋时节感受到春风拂面,让自己那变得越来越糟糕的思路化腐朽为神奇。



    *想起鸟笼山剿匪记的对白:“大王,您不是一直嫌自己智力太高么,那就得多看看电视”

    Comments (9)

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    说一说对你的损失(不要勾起你的心痛啊), 过去不知道他有做, 数值方法(也不准确)以外的工作~`
    Oct. 1
    Bowrote:
    不知道为什么,我对Candes没什么好印象。。。
    Oct. 1
    Xiaodi Houwrote:
    不好意思,我原文有歧义自己没发现,是跑到Stanford了。虽然多少也不意外。毕竟Donoho是他老师,而且Stanford这块确实有实力。不过就我个人而言这实在是我的一大损失。。。恨临走前自己没再多找他面谈几次。

    to 泡泡:你土了,我说的不是sparse matrix completion ;-)
    Oct. 1
    走了~确实很隐晦
    前两天还在Caltech下他的paper第二天再搜就指向Stanford了, 还以为是他念PhD的主页复活, 结果Home上自己说搬家了~
    其实看Candes要看Donoho, 尽管这是他最得意的学生之一, 这些工作都是Donoho20年前开始的
    Oct. 1
    Bubble Zhouwrote:
    哈哈,同大赞。今天revisit他matrix completion的工作,才领悟到由vector的l1稀疏过渡到matrix的稀疏rank的整个过程,candes是多么的英明与强大!!
    Oct. 1
    Kan Wuwrote:
    patpat,学长这么强,一定可以的
    Sept. 30
    拜读了~
    Candes的那个L1 Magic工具箱似乎不如SparseLab2.1的好用。
    同问Candes去哪儿?
    Sept. 30
    Qiwrote:
    是那个caltech stanford到处待,两三年拿到tenure,很年轻就prof的那个数学还是统计的牛人么?
    刚看你的帖子吓了一跳,还以为。。。
    Sept. 30
    Zhiting Xuwrote:
    what?! where's he going?
    Sept. 30

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