6th International Conference on Independent Component Analysis and Blind Source Separation6th International Conference on Independent Component Analysis and Blind Source Separation.docVIP

下载本文档

9
0
约1.83万字
约 10页
2017-01-05 发布于贵州
举报
版权申诉

6th International Conference on Independent Component Analysis and Blind Source Separation6th International Conference on Independent Component Analysis and Blind Source Separation.doc

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

6th International Conference on Independent Component Analysis and Blind Source Separation6th International Conference on Independent Component Analysis and Blind Source Separation

6th International Conference on Independent Component Analysis and Blind Source Separation Program Sunday, March 5 2:00-3:30 Tutorial 1 Neural theory and neural analysis using ICA,Tony Bell, University of California at Berkeley 3:30-4:00 Coffee Break4:00-6:00 Tutorial 2: Bayesian machine learning for signal processing,Hagai T. Attias, Golden Metallic, Inc. (Presentation) 6:30-10:00 Welcome Reception Monday, March 6 8:30-9:30 Invited Talk 1 To be or not to be independent: a mathematical discussion of ICA decompositions for brain fMRI data,by Ingrid Daubechies, Prof. Applied Mathematics, Princeton University 9:30-10:00 Poster Highlights (5 minutes each) Second-Order Blind Identification of Underdetermined Mixtures (40)Lieven De Lathauwer, Josephine Castaing Model structure selection in convolutive mixtures (72)Mads Dyrholm, Scott Makeig, Lars Kai Hansen K-EVD Clustering and its Applications to Sparse Component Analysis (88)Zhaoshui He, Andrzej Cichocki An EM method for spatio-temporal blind source separation using an AR-MOG source model (96)Kenneth Hild, Hagai Attias, Srikantan Nagarajan Estimating non-Gaussian subspaces by characteristic functions (152)Motoaki Kawanabe, Fabian Theis Global Noise Elimination from ELF Band Electromagnetic Signals by ICA (376)Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata 10:00-10:30 Coffee Break10:30-12:30 Oral Session 1 - Theory (15 minutes each) Zero-Entropy Minimization for Blind Extraction of Bounded Sources (733)Frederic Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen Global Analysis of Log Likelihood Criterion (797)Gen Hori Kernel Principal Components are maximum entropy projections (828)Antonio Paiva, Jianwu Xu, Jose Principe Blind partial separation of instantaneous mixtures of sources (851)Dinh-Tuan Antoine Pham Information-Theoretic Nonstationary Source Separation (867)Zeyong Shan, Selin Aviyente Testing significance of mixing and demixing coe