2008 |
22 | EE | Josef Kittler,
David Windridge,
Debaditya Goswami:
Subsurface scattering deconvolution for improved NIR-visible facial image correlation.
FG 2008: 1-6 |
21 | EE | Alexander Tatarchuk,
Vadim Mottl,
Andrey Eliseyev,
David Windridge:
Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines.
ICPR 2008: 1-4 |
20 | EE | David Windridge,
Josef Kittler:
Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents.
Applications of Computational Intelligence in Biology 2008: 395-422 |
2007 |
19 | EE | 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.
MCS 2007: 13-21 |
2006 |
18 | EE | Josef Kittler,
Mikhail Shevchenko,
David Windridge:
Visual Bootstrapping for Unsupervised Symbol Grounding.
ACIVS 2006: 1037-1046 |
17 | | Josef Kittler,
Mikhail Shevchenko,
David Windridge:
Cognitive learning with automatic goal acquisition.
STAIRS 2006: 3-13 |
2005 |
16 | EE | Richard Bowden,
Liam Ellis,
Josef Kittler,
Mikhail Shevchenko,
David Windridge:
Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision.
ICIAP 2005: 27-36 |
15 | EE | Robin Patenall,
David Windridge,
Josef Kittler:
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers.
Multiple Classifier Systems 2005: 128-135 |
14 | EE | Josef Kittler,
William J. Christmas,
Alexey Kostin,
Fei Yan,
Ilias Kolonias,
David Windridge:
A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision.
SCIA 2005: 343-358 |
13 | EE | David Windridge,
Josef Kittler:
Performance measures of the tomographic classifier fusion methodology.
IJPRAI 19(6): 731-753 (2005) |
12 | EE | David Windridge,
Richard Bowden:
Hidden Markov chain estimation and parameterisation via ICA-based feature-selection.
Pattern Anal. Appl. 8(1-2): 115-124 (2005) |
2004 |
11 | EE | Richard Bowden,
David Windridge,
Timor Kadir,
Andrew Zisserman,
Michael Brady:
A Linguistic Feature Vector for the Visual Interpretation of Sign Language.
ECCV (1) 2004: 390-401 |
10 | EE | David Windridge,
Robin Patenall,
Josef Kittler:
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation.
Multiple Classifier Systems 2004: 194-203 |
9 | EE | David Windridge,
Richard Bowden:
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign.
Multiple Classifier Systems 2004: 303-313 |
8 | EE | David Windridge,
Richard Bowden,
Josef Kittler:
A General Strategy for Hidden Markov Chain Parameterisation in Composite Feature-Spaces.
SSPR/SPR 2004: 1069-1077 |
2003 |
7 | EE | Josef Kittler,
Alireza Ahmadyfard,
David Windridge:
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding.
Multiple Classifier Systems 2003: 106-114 |
6 | EE | David Windridge,
Josef Kittler:
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion.
Multiple Classifier Systems 2003: 186-195 |
5 | EE | David Windridge,
Josef Kittler:
A Morphologically Optimal Strategy for Classifier Combination: Multiple Expert Fusion as a Tomographic Process.
IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 343-353 (2003) |
2002 |
4 | EE | David Windridge,
Josef Kittler:
On the General Application of the Tomographic Classifier Fusion Methodology.
Multiple Classifier Systems 2002: 149-158 |
3 | EE | David Windridge,
Josef Kittler:
Morphologically Unbiased Classifier Combination through Graphical PDF Correlation.
SSPR/SPR 2002: 789-797 |
2001 |
2 | EE | David Windridge,
Josef Kittler:
Classifier Combination as a Tomographic Process.
Multiple Classifier Systems 2001: 248-258 |
2000 |
1 | EE | David Windridge,
Josef Kittler:
Combined Classifier Optimisation via Feature Selection.
SSPR/SPR 2000: 687-695 |