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  •  http://www.geodise.org 
     

  • http://computing.ee.ethz.ch/programming/condor.en.html
     

  • Comparative hybridization of an array of 21 500 ovarian cDNAs for the discovery of genes overexpressed in ovarian carcinomas
    http://www-lmc.imag.fr/lmc-sms/Gersende.Fort/GLM/Programs.html
     

  • Title 
    http://five-percent-nation.mit.edu/PersonalPages/rif/Pubs/datasetsize.pdf
     

  • Tamás SZIRÁNYI
    Publications: http://www.sztaki.hu/~sziranyi/publ_szt.html 
     

  • Ioannis Pitas
    http://poseidon.csd.auth.gr/LAB_PEOPLE/IPitas.htm  
     

  • Joe Noonan
    http://www.eecs.tufts.edu/~jnoonan/  
     

  • ACIL Publications
    http://www.ece.umr.edu/acil/publications.htm 
     

  • Tobias Sing 
    http://www.tobiassing.net 
     

  • Avishai Adler
     


  • http://csl.snu.ac.kr/publication/paper/dissertation/Ph.D/nojunkwak.pdf  
     

  • Publications 
    http://csl.snu.ac.kr/ 
     

  • NEW VISL PROJECT PROPOSALS FOR SPRING TERM 2005
    http://visl.technion.ac.il/projects_spring_2005.htm  
     

  • The Equations Behind the Brain
    http://visl.technion.ac.il/projects/2005spring/karigal4.pdf  
     

  • Larisa Goffman-Vinopal
    http://visl.technion.ac.il/~lg/ 
     

  • Andri Riid
    Publications http://www.fmt.vein.hu/softcomp/publications.html  
     

  • Thesis PFE
    http://www.antoineazar.com/PFE.pdf  
     

  • Miguel Ángel González Ballester
    Publications: http://www-sop.inria.fr/epidaure/BIBLIO/Author/GONZALEZ-BALLESTER-MA.html  
     

  • Alex Zelikovsky
    Publications: http://suez.cs.gsu.edu/%7Ecscazz/publications.html  
     

  • Towards a computer-aided diagnosis system for ... pigmented skin lesions 
     

  • Papers that cite Woods, Kegelmeyer, and Bowyer
    IEEE Trans PAMI, April 1997.
     

  • Shin HW, Sohn SY
    Selected tree classifier combination based on both accuracy and error diversity 
    PATTERN RECOGNITION 38 (2): 191-197 FEB 2005 
     

  • Myles AJ, Brown SD
    Decision pathway modeling 
    JOURNAL OF CHEMOMETRICS 18 (6): 286-293 JUN 2004 
     

  • Tsoumakas G, Katakis I, Vlahavas I
    Effective voting of heterogeneous classifiers 
    LECTURE NOTES IN COMPUTER SCIENCE 3201: 465-476 2004 
     

  • McDonald RA, Eckley IA, Hand DJ
    A classifier combination tree algorithm 
    LECTURE NOTES IN COMPUTER SCIENCE 3138: 609-617 2004 
     

  • Rohlfing T, Russakoff DB, Maurer CR
    Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation 
    IEEE TRANSACTIONS ON MEDICAL IMAGING 23 (8): 983-994 AUG 2004 

  • Zhang Z, Zhou SG, Zhou AY
    Sequential classifiers combination for text categorization: An experimental study 
    LECTURE NOTES IN COMPUTER SCIENCE 3129: 509-518 2004 
     

  • Dynamic classifier selection. by adaptive k-nearest-neighbourhood rule 
    Didaci L, Giacinto G
    LECTURE NOTES IN COMPUTER SCIENCE 3077: 174-183 2004 
     

  • Ensembles of learning machines
    Valentini G, Masulli R
    LECT NOTES COMPUT SC 2486: 3-19 2002 
     

  • "Fuzzy" versus "Nonfuzzy" in combining classifiers designed by boosting
    Kuncheva LI
    IEEE T FUZZY SYST 11 (6): 729-741 DEC 2003 
     

  • A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery
    Bachmann CM, Bettenhausen MH, Fusina RA, et al.
    IEEE T GEOSCI REMOTE 41 (11): 2488-2499 Part 1 NOV 2003 
     

  • UODV: improved algorithm and generalized theory
    Jing XY, Zhang D, Jin Z
    PATTERN RECOGN 36 (11): 2593-2602 NOV 2003 
     

  • Liu WY, Song N
    A fuzzy approach to classification of text documents
    J COMPUT SCI TECHNOL 18 (5): 640-647 SEP 2003 

    Maloof MA, Langley P, Binford TO, et al.
    Improved rooftop detection in aerial images with machine learning
    MACH LEARN 53 (1-2): 157-191 OCT-NOV 2003 

    Kamel MS, Wanas NM
    Data dependence in combining classifiers
    LECT NOTES COMPUT SC 2709: 1-14 2003
     

  • A sequential scheduling approach to combining multiple object classifiers using cross-entropy
    Magee D
    LECT NOTES COMPUT SC 2709: 135-145 2003
     

  • The practical performance characteristics of tomographically filtered multiple classifier fusion
    Windridge D, Kittler J
    LECT NOTES COMPUT SC 2709: 186-195 2003
     

  • Improvements on the uncorrelated optimal discriminant vectors
    Jing XY, Zhang D, Jin Z
    PATTERN RECOGN 36 (8): 1921-1923 AUG 2003
     

  • Combining both ensemble and dynamic classifier selection schemes for prediction of mobile internet subscribers
    Shin HW, Sohn SY
    EXPERT SYST APPL 25 (1): 63-68 JUL 2003
     

  • Altincay H, Demirekler M
    Undesirable effects of output normalization in multiple classifier systems
    PATTERN RECOGN LETT 24 (9-10): 1163-1170 JUN 2003
     

  • A morphologically optimal strategy for classifier combination: Multiple expert fusion as a tomographic process
    Windridge D, Kittler J
    IEEE T PATTERN ANAL 25 (3): 343-353 MAR 2003

    Oh SB
    On the relationship between majority vote accuracy and dependency in multiple classifier systems
    PATTERN RECOGN LETT 24 (1-3): 359-363 JAN 2003

    Ghosh J
    Multiclassifier systems: Back to the future
    LECT NOTES COMPUT SC 2364: 1-15 2002
     

  • On the general application of the tomographic classifier fusion methodology
    Windridge D, Kittler J
    LECT NOTES COMPUT SC 2364: 149-158 2002
     

  • Post-processing of classifier outputs in multiple classifier systems
    Altincay H, Demirekler M
    LECT NOTES COMPUT SC 2364: 159-168 2002
     

  • A combination scheme for fuzzy clustering
    Dimitriadou E, Weingessel A, Hornik K
    INT J PATTERN RECOGN 16 (7): 901-912 NOV 2002
     

  • A modular clutter rejection technique for FLIR imagery using region-based principal component analysis
    Rizvi SA, Nasrabadi NM
    PATTERN RECOGN 35 (12): 2895-2904 DEC 2002
     

  • Alkoot FM, Kittler J
    Moderating k-NN classifiers
    PATTERN ANAL APPL 5 (3): 326-332 JUN 2002
     

  • Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets
    Demirekler M, Altincay H
    PATTERN RECOGN 35 (11): 2365-2379 NOV 2002
     

  • Fusing neural networks through space partitioning and fuzzy integration
    Verikas A, Lipnickas A
    NEURAL PROCESS LETT 16 (1): 53-65 AUG 2002
     

  • Modeling focus of attention for meeting indexing based on multiple cues
    Stiefelhagen R, Yang J, Waibel A
    IEEE T NEURAL NETWOR 13 (4): 928-938 JUL 2002
     

  • A data complexity analysis of comparative advantages of decision forest constructors
    Ho TK
    PATTERN ANAL APPL 5 (2): 102-112 JUN 2002
     

  • Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection
    Smits PC
    IEEE T GEOSCI REMOTE 40 (4): 801-813 APR 2002
     

  • Modified product fusion
    Alkoot FM, Kittler J
    PATTERN RECOGN LETT 23 (8): 957-965 JUN 2002
     

  • Switching between selection and fusion in combining classifiers: An experiment
    Kuncheva LI
    IEEE T SYST MAN CY B 32 (2): 146-156 APR 2002
     

  • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
    Yu SX, De Backer S, Scheunders P
    PATTERN RECOGN LETT 23 (1-3): 183-190 JAN 2002
     

  • Selection of classifiers based on multiple classifier behaviour
    Giacinto G, Roli F, Fumera G
    LECT NOTES COMPUT SC 1876: 87-93 2000
     

  • Windridge D, Kittler J
    Combined classifier optimisation via feature selection
    LECT NOTES COMPUT SC 1876: 687-695 2000

    Zhu H, Beling PA, Overstreet G
    A study in the combination of two consumer credit scores
    J OPER RES SOC 52 (9): 974-980 SEP 2001

    Lashkia V, Aleshin S
    Test feature classifiers: Performance and applications
    IEEE T SYST MAN CY B 31 (4): 643-650 AUG 2001

    Rao NSV
    On fusers that perform better than best sensor
    IEEE T PATTERN ANAL 23 (8): 904-909 AUG 2001

    Kuncheva LI
    Using measures of similarity and inclusion for multiple classifier
    fusion by decision templates
    FUZZY SET SYST 122 (3): 401-407 SEP 16 2001

    Giacinto G, Roli F
    Dynamic classifier selection based on multiple classifier behaviour
    PATTERN RECOGN 34 (9): 1879-1881 SEP 2001

    Jin Z, Yang JY, Hu ZS, et al.
    Face recognition based on the uncorrelated discriminant transformation
    PATTERN RECOGN 34 (7): 1405-1416 JUL 2001

    Valet L, Mauris G, Bolon P
    A statistical overview of recent literature in information fusion
    IEEE AERO EL SYS MAG 16 (3): 7-14 MAR 2001

    Kuncheva LI, Bezdek JC, Duin RPW
    Decision templates for multiple classifier fusion: an experimental comparison
    PATTERN RECOGN 34 (2): 299-314 FEB 2001

    Kuncheva LI, Jain LC
    Designing classifier fusion systems by genetic algorithms
    IEEE T EVOLUT COMPUT 4 (4): 327-336 NOV 2000

    Rizvi SA, Saadawi TN, Nasrabadi NM
    A clutter rejection technique for FLIR imagery using region based
    principal component analysis
    PATTERN RECOGN 33 (11): 1931-1933 NOV 2000

    Happel MD, Bock P
    Analysis of a fusion method for combining marginal classifiers
    LECT NOTES COMPUT SC 1857: 137-146 2000
     

  • Dynamic classifier selection
    Giacinto G, Roli F
    LECT NOTES COMPUT SC 1857: 177-189 2000
     

  • Filterbank-based fingerprint matching
    Jain AK, Prabhakar S, Hong L, et al.
    IEEE T IMAGE PROCESS 9: (5) 846-859 MAY 2000.
     

  • Distance-based test feature classifiers and its applications
    Lashkia V, Kaneko S, Aleshin S
    IEICE T INF SYST E83D: (4) 904-913 APR 2000.
     

  • Selection of image classifiers
    Giacinto G, Roli F, Fumera G
    ELECTRON LETT 36: (5) 420-422 MAR 2 2000.
     

  • Statistical pattern recognition: A review
    Jain AK, Duin RPW, Mao JC
    IEEE T PATTERN ANAL 22: (1) 4-37 JAN 2000.
     

  • Neural networks based colour measuring for process monitoring and control in multicoloured newspaper printing
    Verikas A, Malmqvist K, Bergman L
    NEURAL COMPUT APPL 9 (3): 227-242 2000
     

  • Experimental evaluation of expert fusion strategies
    Alkoot FM, Kittler J
    PATTERN RECOGN LETT 20: (11-13) 1361-1369 NOV 1999.
     

  • Miller DJ, Yan L
    Critic-driven ensemble classification
    IEEE T SIGNAL PROCES 47: (10) 2833-2844 OCT 1999.

    Li YH, Jain AK
    Classification of text documents
    COMPUT J 41: (8) 537-546 1998.

    Verikas A, Malmqvist K, Malmqvist L, et al.
    A new method for colour measurements in graphic arts
    COLOR RES APPL 24: (3) 185-196 JUN 1999.

    Verikas A, Lipnickas A, Malmqvist K, et al.
    Soft combination of neural classifiers: A comparative study
    PATTERN RECOGN LETT 20: (4) 429-444 APR 1999.
     

  • A multichannel approach to fingerprint classification
    Jain AK, Prabhakar S, Hong L
    IEEE T PATTERN ANAL 21: (4) 348-359 APR 1999.
     

  • Application of multi-layer perceptron neural networks to vision problems
    Khotanzad A, Chung C
    NEURAL COMPUT APPL 7: (3) 249-259 1998.
     

  • Colour classification by neural networks in graphic arts
    Verikas A, Malmqvist K, Bergman L, et al.
    NEURAL COMPUT APPL 7: (1) 52-64 1998.
     

  • Wang LC, Der SZ, Nasrabadi NM
    Composite classifiers for automatic target recognition
    OPT ENG 37: (3) 858-868 MAR 1998. 
     

  • Loop Recognition
    http://www.mssl.ucl.ac.uk/twiki/bin/view/SDO/LoopRecognition 
     

  • Need to get this guy's journal papers ...
    http://www.egr.msu.edu/~aviyente/  
     

  • Papers
    http://sclab.yonsei.ac.kr/~uribyul/ic.htm 
     


  • http://tswww.ism.ac.jp/higuchi/index_e/bib_r.html 
     

  • http://www.ism.ac.jp/editsec/resmemo/resmemo-file/resm-2e.htm  
     

  • http://www.ism.ac.jp/publish/index_e.html  
     
  • Parminder Nagra 
     
  • P303.html @ vintage synthony.com 
     
  • Octasic OCT61000  echo cancellation chip 
     
  • SanteraOne by Tekelec 
     

New 26-07-2004

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12-04-2005

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28-06-2004

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Weekend

Misc.

Fractals

Grid

Misc

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DNA Computing

Medical

Grid

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Medical

2005 - SPMC / SoCCE / UoP