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luispedro library [32 articles]

Статьи, недавно добавленные в библиотеку luispedro .
  • Image analysis for automatic segmentation of cytoplasms and classification of Rac1 activation.
    Cytometry A, Vol. 57, No. 1. (January 2004), pp. 22-33.
    posted to segmentation image_processing by luispedro on 2008-08-04 17:07:43 as ** along with 1 person dwf
  • Advances in automated 3-D image analysis of cell populations imaged by confocal microscopy
    Cytometry, Vol. 25, No. 3. (1996), pp. 221-234.
    by Hakan Ancin, Badrinath Roysam, Thomas E Dufresne, Matthew M Chestnut, Gregg M Ridder, Donald H Szarowski, James N Turner
    posted to segmentation by luispedro on 2008-08-01 17:12:48 as **
  • The ordered queue and the optimality of the watershed approaches
    Vol. 18 (2000), pp. 341-350.
    by Roberto Lotufo, Alexandre Falcao
    posted to segmentation image_processing by luispedro on 2008-07-31 20:40:52 as **
  • Contour and Texture Analysis for Image Segmentation
    International Journal of Computer Vision, Vol. 43, No. 1. (2001), pp. 7-27.
    by Jitendra Malik, Serge Belongie, Thomas K Leung, Jianbo Shi
    posted to segmentation image_analysis by luispedro on 2008-07-31 15:22:24 as ** along with 1 person PeterRabbit
  • Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology
    PLoS Comput Biol, Vol. 4, No. 7. (25 July 2008), e1000029.
    by Karthik Devarajan
  • A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs Tim W. Nattkemper
    by Heiko W Walter
    posted to segmentation image_processing by luispedro on 2008-07-29 19:17:33 as **
  • Hierarchical SOMs: Segmentation of Cell-Migration Images
    Advances in Neural Networks – ISNN 2007 (2007), pp. 938-946.
    by Chaoxin Zheng, Khurshid Ahmad, Aideen Long, Yuri Volkov, Anthony Davies, Dermot Kelleher
    posted to segmentation image_processing by luispedro on 2008-07-29 16:42:32 as **
  • Fully automated biomedical image segmentation by self-organized model adaptation
    Neural Networks, Vol. 17, No. 8-9. ( 2004), pp. 1327-1344.
    by Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Baese, Maximilian Reiser, Helge Ritter
    posted to segmentation image_processing by luispedro on 2008-07-29 16:40:04 as **
  • Automatic image analysis for gene expression patterns of fly embryos
    BMC Cell Biology, Vol. 8, No. Suppl 1. (2007)
    by Hanchuan Peng, Fuhui Long, Jie Zhou, Garmay Leung, Michael Eisen, Eugene Myers
    posted to drosophila by luispedro on 2008-07-25 21:16:24 as ** along with 2 people chodar dlmace
  • Active Learning with Statistical Models
    Vol. 7 (1995), pp. 705-712.
    by David A Cohn, Zoubin Ghahramani, Michael I Jordan
    edited by G Tesauro, D Touretzky, T Leen
  • Information Theory, Inference & Learning Algorithms
    (15 June 2002)
    by David JC Mackay
  • A Bayesian Approach to Learning Bayesian Networks with Local Structure
    pp. 80-89.
    by David M Chickering, David Heckerman, Christopher Meek
  • Optimal Structure Identification with Greedy Search
    (2002)
    posted to machine_learning bayesian_networks by luispedro on 2008-07-25 15:23:51 as **
  • Local Learning in Probabilistic Networks with Hidden Variables
    (1995), pp. 1146-1152.
    by Stuart J Russell, John Binder, Daphne Koller, Keiji Kanazawa
    posted to bayesian_networks by luispedro on 2008-07-25 15:13:01 as ** along with 3 people wnpx anon_pl wlyu2001
  • Survey over image thresholding techniques and quantitative performance evaluation
    (2004)
    by M Sezgin, B Sankur
    posted to image_processing image_analysis by luispedro on 2008-05-06 18:18:09 as read
  • Novelty detection: a review-part 1: neural network based approaches
    (2003)
    by M Markou, S Singh
    posted to machine_learning novelty_detection by luispedro on 2008-04-21 23:21:02 as **
  • Novelty Detection: A Review - Part 1: Statistical Approaches
    by Markos Markou, Sameer Singh
  • A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals
    Neural Comp., Vol. 17, No. 2. (1 February 2005), pp. 397-423.
    by Yan Karklin, Michael S Lewicki
  • Atomic Decomposition by Basis Pursuit
    SIAM Journal on Scientific Computing, Vol. 20, No. 1. (1999), pp. 33-61.
    by Scott S Chen, David L Donoho, Michael A Saunders
    posted to sparse_representation by luispedro on 2008-04-11 23:06:01 as ***
  • Simultaneous Feature Selection and Clustering Using Mixture Models
    by Martin HC Law, Mario AT Figueiredo, Anil K Jain
    posted to clustering by luispedro on 2008-04-02 20:08:29 as **** along with 2 people samal alexhofmann
  • Non-negative matrix factorization with sparseness constraints
    (25 Aug 2004)
    by Patrik O Hoyer
  • Algorithms for Non-negative Matrix Factorization
    (2000), pp. 556-562.
    by Daniel D Lee, Sebastian H Seung
  • Toward Optimal Feature Selection
    (1996), pp. 284-292.
    by Daphne Koller, Mehran Sahami
  • Statistical and structural approaches to texture
    Proceedings of the IEEE, Vol. 67, No. 5. (1979), pp. 786-804.
    by RM Haralick
    posted to image_analysis by luispedro on 2008-03-23 19:43:07 as read along with 1 person dwf
  • A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
    Bioinformatics, Vol. 17, No. 12. (1 December 2001), pp. 1213-1223.
    by Michael V Boland, Robert F Murphy
    posted to machine_learning pattern_recognition by luispedro on 2008-03-23 19:40:32 as read along with 1 person dwf
  • Data Analysis with Bayesian Networks: A Bootstrap Approach
    pp. 196-205.
    by Nir Friedman, Moises Goldszmidt, Abraham Wyner
    posted to bayesian by luispedro on 2007-04-04 04:48:02 as read along with 1 person naegele
  • A mathematical theory of communication
    SIGMOBILE Mob. Comput. Commun. Rev., Vol. 5, No. 1. (January 2001), pp. 3-55.
    by CE Shannon
  • Global Mapping of the Yeast Genetic Interaction Network
    Science, Vol. 303, No. 5659. (06 February 2004), pp. 808-813.
    by Amy HY Tong, Guillaume Lesage, Gary D Bader, Huiming Ding, Hong Xu, Xiaofeng Xin, James Young, Gabriel F Berriz, Renee L Brost, Michael Chang, Yiqun Chen, Xin Cheng, Gordon Chua, Helena Friesen, Debra S Goldberg, Jennifer Haynes, Christine Humphries, Grace He, Shamiza Hussein, Lizhu Ke, Nevan Krogan, Zhijian Li, Joshua N Levinson, Hong Lu, Patrice Menard, Christella Munyana, Ainslie B Parsons, Owen Ryan, Raffi Tonikian, Tania Roberts, Anne-Marie Sdicu, Jesse Shapiro, Bilal Sheikh, Bernhard Suter, Sharyl L Wong, Lan V Zhang, Hongwei Zhu, Christopher G Burd, Sean Munro, Chris Sander, Jasper Rine, Jack Greenblatt, Matthias Peter, Anthony Bretscher, Graham Bell, Frederick P Roth, Grant W Brown, Brenda Andrews, Howard Bussey, Charles Boone
  • Dynamic Properties of Network Motifs Contribute to Biological Network Organization.
    PLoS Biol, Vol. 3, No. 11. (4 October 2005)
    by Robert J J Prill, Pablo A A Iglesias, Andre Levchenko
  • Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
    (15 January 1997)
    by Dan Gusfield
  • notes From Ukkonen to McCreight and Weiner: A Unifying View of Linear-Time Suffix Tree Construction
    Algorithmica, Vol. 19, No. 3. (1997), pp. 331-353.
    by Robert Giegerich, Stefan Kurtz
  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).
    Proc Natl Acad Sci U S A, Vol. 100, No. 14. (8 July 2003), pp. 8348-8353.
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