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Machine Learning Seminar

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang.

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Machine Learning Seminar | mlseminar.blogspot.com Reviews
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This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang.
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1 machine learning seminar
2 by li he
3 references
4 convex optimization
5 semidefinite programming
6 li he
7 没有评论
8 指向此博文的链接
9 标签: optimization
10 statistical independence
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machine learning seminar,by li he,references,convex optimization,semidefinite programming,li he,没有评论,指向此博文的链接,标签: optimization,statistical independence,numerical estimators;,applications,clustering;,iid test,jmlr,probabilistic graphical models,icml,nips
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Machine Learning Seminar | mlseminar.blogspot.com Reviews

https://mlseminar.blogspot.com

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang.

INTERNAL PAGES

mlseminar.blogspot.com mlseminar.blogspot.com
1

Machine Learning Seminar: Manifold Alignment Using Procrustes Analysis

http://mlseminar.blogspot.com/2009/04/manifold-alignment-using-procrustes.html

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang. Manifold Alignment Using Procrustes Analysis. Icml08的文章,作者将统计学中做形状分析的一种叫Procrustes analysis的方法用于流形对齐 - 基于流形的两组数据通过一定数量标定点的训练,形成两组数据在整个流形上的对应关系。这种方法可以运用在知识的迁移(例如基于不同语言文档的对应查询、马尔可夫决策过程等等)。 Procrustes Analysis的主要思想就是将一组数据通过旋转、放缩、平移等变换使它和另一组数据形成最优的对应,它的特点是计算量较小,并且保持了流形的基本结构。 文章还详细介绍了几个应用:跨语言文档查询,马尔科夫决策过程中的迁移学习。 相关文献可参阅: http:/ icml2008.cs.helsinki.fi/papers/229.pdf. 标签: Manifold Alignment.

2

Machine Learning Seminar: 四月 2009

http://mlseminar.blogspot.com/2009_04_01_archive.html

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang. Saliency Detection是指检测一副图像/视频截图中最能吸引人注意力的区域的技术,通常基于某区域与周围区域的差别的程度来定义saliency值的大小。不同模型中的saliency值定义不一样,主要有以下几个大类的模型:. 1基于各个特征(比如颜色、灰度、方向)center-surround contrast的大小来定义。 Http:/ www.scholarpedia.org/article/Visual salience. Computational modelling of visual attention. Itti. Wwwcnbc.cmu.edu/ tai/readings/tom/itti attention.pdf. Saliency Based on Information Maximization. Bruce. 标签: Manifold Alignment. Dong Xu,...

3

Machine Learning Seminar: 三月 2009

http://mlseminar.blogspot.com/2009_03_01_archive.html

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang. Adaptive Template Matching with Shift-Invariant Semi-NMF. 作者在合成数据和胞外记录(exteacellular recordings)上分别做了实验,结果显示该方法在合成数据上可以把有噪声的信号重构后形成无噪声信号,在胞外记录的实验上,该方法成功分离出两种基本信号(SD spike,IS spike). 文章下载地址: http:/ liinc.bme.columbia.edu/ lparra/publish/NIPS2008-SSNMF.pdf. MCboost:Multiple Classifier Boosting for Perceptual Co-Clustering of Images and Visual Features. 如果我们利用多个强分类器对图像进行分类,可能会获得比较好的结果。其中强分类的个数为o...Compressed ...

4

Machine Learning Seminar: 速读注意事项

http://mlseminar.blogspot.com/2009/04/blog-post_19.html

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang. 5  文章关注的重点是什么, 反映了哪些机器学习领域的研究趋势? 订阅: 帖子评论 (Atom). Manifold Alignment Using Procrustes Analysis. Human Gait Recognition With Matrix Representation. Seam Carving for Image Resizing.

5

Machine Learning Seminar: Saliency Detection

http://mlseminar.blogspot.com/2009/04/saliency-detection.html

This is a blog for the machine learning seminar at Fudan University, presided by Dr. Junping Zhang. Saliency Detection是指检测一副图像/视频截图中最能吸引人注意力的区域的技术,通常基于某区域与周围区域的差别的程度来定义saliency值的大小。不同模型中的saliency值定义不一样,主要有以下几个大类的模型:. 1基于各个特征(比如颜色、灰度、方向)center-surround contrast的大小来定义。 Http:/ www.scholarpedia.org/article/Visual salience. Computational modelling of visual attention. Itti. Wwwcnbc.cmu.edu/ tai/readings/tom/itti attention.pdf. Saliency Based on Information Maximization. Bruce. 订阅: 帖子评论 (Atom).

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