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    EMNLP
    2011
    209views Natural Language Processing» more  EMNLP 2011»
    Structured Relation Discovery using Generative Models
    12 years 7 months ago
    Structured Relation Discovery using Generative Models
    Download  www.cs.umass.edu
    We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
    Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
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    EMNLP
    2008
    109views Natural Language Processing» more  EMNLP 2008»
    Seeded Discovery of Base Relations in Large Corpora
    13 years 9 months ago
    Seeded Discovery of Base Relations in Large Corpora
    Download  people.cs.vt.edu
    Relationship discovery is the task of identifying salient relationships between named entities in text. We propose novel approaches for two sub-tasks of the problem: identifying t...
    Nicholas Andrews, Naren Ramakrishnan
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    AIPR
    2004
    IEEE
    194views Pattern Recognition» more  AIPR 2004»
    An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
    13 years 11 months ago
    An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
    Download  www.tcnj.edu
    This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
    Orlando J. Hernandez, Alireza Khotanzad
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    BMCBI
    2008
    178views more  BMCBI 2008»
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
    13 years 8 months ago
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
    Download  www.biomedcentral.com
    Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
    Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...
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    ICML
    2001
    IEEE
    149views Machine Learning» more  ICML 2001»
    Constrained K-means Clustering with Background Knowledge
    14 years 8 months ago
    Constrained K-means Clustering with Background Knowledge
    Download  www.litech.org
    Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
    Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
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