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    MVA
    1992
    89views Computer Vision» more  MVA 1992»
    High Speed Autofocus for Microscopic Images
    13 years 9 months ago
    High Speed Autofocus for Microscopic Images
    Download  b2.cvl.iis.u-tokyo.ac.jp
    2 Computational Theory The processing of biological specimens or the 2.1 Overview examination of material surfaces for quality control requires a fast and precise autofocus system....
    J. E. Fischer, D. Homeister, J. Lehmler, G. Roos
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    NN
    2006
    Springer
    97views Neural Networks» more  NN 2006»
    Self-organizing neural networks to support the discovery of DNA-binding motifs
    13 years 8 months ago
    Self-organizing neural networks to support the discovery of DNA-binding motifs
    Download  www.benoslab.pitt.edu
    Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
    Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
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    TNN
    2008
    97views more  TNN 2008»
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    13 years 8 months ago
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    Download  www.cs.washington.edu
    Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    ICASSP
    2011
    IEEE
    240views Signal Processing» more  ICASSP 2011»
    An acoustically-motivated spatial prior for under-determined reverberant source separation
    13 years 9 days ago
    An acoustically-motivated spatial prior for under-determined reverberant source separation
    Download  mirlab.org
    We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
    Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 10 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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