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    NIPS
    2001
    185views Information Technology» more  NIPS 2001»
    Probabilistic principles in unsupervised learning of visual structure: human data and a model
    13 years 11 months ago
    Probabilistic principles in unsupervised learning of visual structure: human data and a model
    Download  www.physics.brown.edu
    To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
    Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
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    EMNLP
    2008
    117views Natural Language Processing» more  EMNLP 2008»
    Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
    13 years 11 months ago
    Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
    Download  www.cs.cornell.edu
    Determining the polarity of a sentimentbearing expression requires more than a simple bag-of-words approach. In particular, words or constituents within the expression can interac...
    Yejin Choi, Claire Cardie
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    TVCG
    2008
    112views more  TVCG 2008»
    Reconstruction of Cellular Biological Structures from Optical Microscopy Data
    13 years 10 months ago
    Reconstruction of Cellular Biological Structures from Optical Microscopy Data
    Download  myslu.stlawu.edu
    Developments in optical microscopy imaging have generated large high-resolution datasets that have spurred medical researchers to conduct investigations into mechanisms of disease,...
    Kishore Mosaliganti, Lee Cooper, Richard Sharp, Ra...
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    ISMB
    1997
    107views Computational Biology» more  ISMB 1997»
    RIBOWEB: Linking Structural Computations to a Knowledge Base of Published Experimental Data
    13 years 11 months ago
    RIBOWEB: Linking Structural Computations to a Knowledge Base of Published Experimental Data
    Download  www.aaai.org
    The world wide web(WWW)has becomecritical for storing and disseminatingbiological data. It offers an additional opportunity, however,to support distributed computation and sharing...
    Richard O. Chen, Ramon M. Felciano, Russ B. Altman
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    ICPR
    2006
    IEEE
    199views computer vision» more  ICPR 2006»
    Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
    14 years 11 months ago
    Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
    Download  www.lu.se
    A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
    Henrik Malm, Eric Warrant
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