今天实在没有心情和兴致去弄G的AW了，索性搞了篇文章看了看。是小牛上海交大的Wenyuan Dai在2007年的ICML上发表的一篇文章《Boosting for Transfer Learning》。 Boosting for transfer learning Full Text: Pdf Authors: Wenyuan Dai Shanghai Jiao Tong University, China Qiang Yang Hong Kong University of Science and Technology, Hong Kong Gui-Rong Xue Shanghai Jiao Tong University, China Yong Yu Shanghai Jiao Tong University, China 先介绍一下作者，Wenyuan...

这两天在准备CIVR的Camera Ready Paper，用到Latex排版，虽然已经用了好多次，但是还是遇到了好多问题，然后网上好多技巧，再次记录一下，以后用起来方便。  Congratulations on having your paper accepted for publication in the ACM International Conference on Image and Video Retrieval (CIVR 2010) to be held 5-7 July in Xi’an, China.    1、Q:几个作者同时共享机构地址，怎么搞？  A:拿ACM的模版为例，  Yes, and we suggest you do the following...  Insert this piece of coding just before the ...

盼望着，盼望着，早上早起，嘿嘿，终于出结果了，看卡正文 Congratulations!  We are pleased to inform you that your paper  哇塞 好兴奋啊。 继续往下看 has been accepted for *poster* presentation at the ACM International Conference on Image and Video Retrieval 2010. 顿时让我感觉有点不爽啊。 大体看看了reviewers的评论，是书写拼写和语法是最大的问题。 不过我已经基本达到目的，因为proceedings得录用率是不到10%的，Poster最多是30%，我应该满足。而且与计划基本相符，我可以写我的CV啦，呵呵...

PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing ACM Transactions on Graphics (Proc. SIGGRAPH), August 2009 Connelly Barnes, Eli Shechtman, Adam Finkelstein, Dan B Goldman Structural image editing. Left to right: (a) the original image; (b) a hole is marked (magenta) and we use line constraints (red/green/blue) to improve the continuity of the roofline; (c) the hole is filled in; (d) user-supplied line constraints for retargeting; (e) ...

熵（entropy）指的是体系的混乱的程度，它在控制论、概率论、数论、天体物理、生命科学等领域都有重要应用，在不同的学科中也有引申出的更为具体的 定义，是各领域十分重要的参量。熵由鲁道夫·克劳修斯（Rudolf Clausius）提出，并应用在热力学中。后来在，克劳德·艾尔伍德·香农（Claude Elwood Shannon）第一次将熵的概念引入到信息论中来。 图像熵表示为图像灰度级集合的比特平均数，单位比特/像素，也描述了图像信源的平均信息量。 : H(p)=-∑i,jp(i.j)lnp(i,j), 其中p(i,j)=x(i,j)∑i,jx(i,j),x(i,j)为图像的像...

March 29-31, 2010, Philadelphia, Pennsylvania, USA ACM SIGMM International Conference on Multimedia Information Retrieval Call for Papers Multimedia information retrieval is a cross-cutting field. Extending beyond the borders of culture, art, and science, the search for digital information is one of the major challenges of our time. Digital libraries, bio-computing & medical science, the Internet and social networking sites, streaming video, multimedia databases, cult...