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David Windridge: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Josef Kittler, Mikhail Shevchenko, David Windridge
    Visual Bootstrapping for Unsupervised Symbol Grounding. [Citation Graph (0, 0)][DBLP]
    ACIVS, 2006, pp:1037-1046 [Conf]
  2. Richard Bowden, David Windridge, Timor Kadir, Andrew Zisserman, Michael Brady
    A Linguistic Feature Vector for the Visual Interpretation of Sign Language. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:390-401 [Conf]
  3. Richard Bowden, L. Ellis, Josef Kittler, Mikhail Shevchenko, David Windridge
    Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2005, pp:27-36 [Conf]
  4. Josef Kittler, Alireza Ahmadyfard, David Windridge
    Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:106-114 [Conf]
  5. David Windridge, Richard Bowden
    Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:303-313 [Conf]
  6. David Windridge, Josef Kittler
    Classifier Combination as a Tomographic Process. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:248-258 [Conf]
  7. David Windridge, Josef Kittler
    On the General Application of the Tomographic Classifier Fusion Methodology. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:149-158 [Conf]
  8. David Windridge, Josef Kittler
    The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:186-195 [Conf]
  9. David Windridge, Robin Patenall, Josef Kittler
    The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:194-203 [Conf]
  10. Robin Patenall, David Windridge, Josef Kittler
    Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:128-135 [Conf]
  11. Josef Kittler, William J. Christmas, Alexey Kostin, Fei Yan, Ilias Kolonias, David Windridge
    A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:343-358 [Conf]
  12. David Windridge, Richard Bowden, Josef Kittler
    A General Strategy for Hidden Markov Chain Parameterisation in Composite Feature-Spaces. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1069-1077 [Conf]
  13. David Windridge, Josef Kittler
    Combined Classifier Optimisation via Feature Selection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:687-695 [Conf]
  14. David Windridge, Josef Kittler
    Morphologically Unbiased Classifier Combination through Graphical PDF Correlation. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:789-797 [Conf]
  15. David Windridge, Josef Kittler
    Performance measures of the tomographic classifier fusion methodology. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:6, pp:731-753 [Journal]
  16. David Windridge, Richard Bowden
    Hidden Markov chain estimation and parameterisation via ICA-based feature-selection. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2005, v:8, n:1-2, pp:115-124 [Journal]
  17. David Windridge, Josef Kittler
    A Morphologically Optimal Strategy for Classifier Combination: Multiple Expert Fusion as a Tomographic Process. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:3, pp:343-353 [Journal]
  18. David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
    The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:13-21 [Conf]

  19. Subsurface scattering deconvolution for improved NIR-visible facial image correlation. [Citation Graph (, )][DBLP]


  20. Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. [Citation Graph (, )][DBLP]


  21. Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. [Citation Graph (, )][DBLP]


  22. Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. [Citation Graph (, )][DBLP]


  23. A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. [Citation Graph (, )][DBLP]


  24. Tomographic Considerations in Ensemble Bias/Variance Decomposition. [Citation Graph (, )][DBLP]


  25. Cognitive learning with automatic goal acquisition. [Citation Graph (, )][DBLP]


  26. An Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities. [Citation Graph (, )][DBLP]


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