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    ICML
    1996
    IEEE
    119views Machine Learning» more  ICML 1996»
    Searching for Structure in Multiple Streams of Data
    14 years 6 months ago
    Searching for Structure in Multiple Streams of Data
    Download  www.cs.arizona.edu
    Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
    Tim Oates, Paul R. Cohen
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    CGI
    2009
    IEEE
    188views Computer Graphics» more  CGI 2009»
    Visual analytics of time dependent 2D point clouds
    13 years 9 months ago
    Visual analytics of time dependent 2D point clouds
    Download  www.gris.informatik.tu-darmstadt.de
    Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot app...
    Tatiana von Landesberger, Sebastian Bremm, Peyman ...
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    IJCNLP
    2005
    Springer
    159views Natural Language Processing» more  IJCNLP 2005»
    Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
    13 years 10 months ago
    Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
    Download  www.aclweb.org
    Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
    Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
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    TSP
    2011
    170views more  TSP 2011»
    Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
    12 years 11 months ago
    Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
    Download  www.wisdom.weizmann.ac.il
    —Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
    Boaz Nadler, Leonid Kontorovich
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    BMCBI
    2006
    128views more  BMCBI 2006»
    Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments
    13 years 5 months ago
    Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments
    Download  www.biomedcentral.com
    Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
    Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...
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