- Fast computation of moving average and related lters in octagonal windows
- DYNAMIC PROGRAMMING VERSUS GRAPH CUT ALGORITHMS Chris Glasbey
- A latent Gaussian model for multivariate consumption D.J. Allcroft, C.A. Glasbey
- 1996, Journal of Microscopy 181, 225-237 (and vol 182, p 240.) Multimodal microscopy by digital image processing
- LETTER Communicated by Michael Lewicki Blind Source Separation Using Temporal Predictability
- IMAGE RESTORATION, SEGMENTATION AND WARPING USING GENERALISATIONS OF DYNAMIC PROGRAMMING
- Footprints Sticking Out of the Sand (Part I): Children's Perception of Naturalistic and Embossed Symbol Stimuli
- SEEING IS BELIEVING? Chris Glasbey
- If we define a matrix A with J rows and N columns, where the jth row is aj = p(x|1)(1 -^j)2, p(x|2)(2 -^j)2, . . . , p(x|N)(N -^j)2, (3)
- COMPUTER HARDWARE AND In this appendix we discuss some of the issues in choosing hardware and software for image
- Writing science essays and reports: Tips for students
- ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 12, 2008
- modifications in the river, in climate and in nitrogen-management practice. Continued
- When is now? Perception of simultaneity J. V. Stone1*
- Communicated by Peter Foldiak Learning Perceptually Salient Visual Parameters Using
- IEEE TRANSACTIONS ON PATTERNANALYSIS AND MACHINEINrELLIGENCE, VOL. 17, NO. 7, JULY 1995 713 Correspondence
- Independent Components Introduction
- Second Edition The Computational Approach to Biological Vision
- Spike Statistics: A Tutorial File: spike statistics8.tex
- Eyes, Flies, and Information Theory 1 Introduction 3
- Wilfrid Kendall Academy for PhD Training
- STANDARD ERRORS IN SYSTEMATIC SAMPLING Chris Glasbey & Stijn Bierman
- A latent Gaussian model for compositional data with Adam Butler and Chris Glasbey
- A latent Gaussian Markov random field model for spatio-temporal rainfall disaggregation
- Meteorological variables are essential inputs to many models in agriculture and hydrology. In
- Two-dimensional generalisations of dynamic programming for image analysis
- Alignment and sub-pixel interpolation of images using Fourier methods
- Ultrasound image segmentation using stochastic templates C.A. Glasbey
- bimj header will be provided by the publisher Efficiency of functional regression estimators for combining
- Estimation of expression levels in spotted microarrays with saturated pixels
- Correction for pixel censoring in cDNA microarrays
- Invited talk at workshop"Functional and Spatial Data Analysis",Leeds, July 2001,131-135. Nonparametric estimators of 2D spectra beyond the Nyquist
- 1996, Advances in Applied Probability, 28, 627-640. Inference on binary images from binary data
- A STATISTICAL APPROACH TO IMAGE WARPING Chris Glasbey
- Towards automatic interpretation of sheep ultrasound scans
- A Canonical Microfunction For Learning Perceptual Invariances
- bimj header will be provided by the publisher A comparison of parametric and nonparametric methods for
- 7 8 9 10 11 Age (years)
- MATHEMATICAL MORPHOLOGY Mathematical Morphology is a theory which provides a number of useful tools for image analy-
- A statistical model for unwarping of 1-D electrophoresis C.A. Glasbey
- It is normal in any area of science that when a new specimen is acquired, it is examined carefully before any measurements are taken. The same approach is applied to digital images. If lots of
- Adams, R. (1993). Radial decomposition of discs and spheres. CVGIP: Graphical Models and Image Processing, 55, 325-332.
- Curriculum Vit Ian L. Dryden
- LETTER Communicated by Stephen Jose Hanson Free-Lunch Learning: Modeling Spontaneous Recovery of
- BIOINFORMATICS Vol. 00 no. 00 2005
- CONFIDENCE INTERVALS FOR CAVALIERI SAMPLING Chris Glasbey
- Invited talk at workshop"Functional and Spatial Data Analysis",Leeds, July 2001,15-17. Identification of differential gene expression from DNA
- Inference from X-ray CT images of sheep C.A. Glasbey
- Spring2006Issue53 a n e w s l e t t e r f o r m e m b e r s o f t h e B N A
- Dynamic programming versus graph cut algorithms for fitting non-parametric models
- Statistical analysis of the distribution of gold particles over antigen sites after immunogold labelling
- TOBIT MODELS FOR MULTIVARIATE, SPATIO-TEMPORAL AND COMPOSITIONAL DATA
- Review of "Independent Component Analysis: A Tutorial Introduction" by James V. Stone, MIT
- Dispatch R663 Face recognition: When a nod is better than a wink
- SEGMENTATION Image segmentation is the division of an image into regions or categories, which correspond
- 2001, Computers and Electronics in Agriculture, 32, 85-100. The application of multivariate statistical methods to
- Neurocomputing 49 (2002) 7986 www.elsevier.com/locate/neucom
- Analysis of Optical Imaging Data using Weak Models and ICA
- 2001, Agricultural and Forest Meteorology, 109,187-201. Rainfall (mm)
- 2001 (A.H. El-Shaarawi and W.W. Piegorsch, eds.) 2, 1023-1025. Encyclopaedia of Environmetrics: Image analysis
- David Tsiklauri, Astronomy Unit, School of Mathematical Sciences
- 2001, Applied Statistics, 50, 143-154. Nonlinear autoregressive time series with multivariate
- SUMMARY OF RESULTS This chapter summarises what has been achieved for each of the images used in the book.
- Footprints Sticking Out of the Sand (Part II): Children's Bayesian Priors For Shape and Lighting Direction
- TOBIT MODELS FOR ANALYSING DATA WITH A PREPONDERANCE Chris Glasbey
- DIRICHLET PROCESS MIXTURE MODEL WITH APPLICATIONS TO BIOINFORMATICS
- Shrinkage estimation with a matrix loss function
- How the brain sees the world James V Stone
- Spike Statistics: A Tutorial File: spike statistics10.tex
- EXPLORATORY DATA ANALYSIS WITH APPLICATIONS TO BIOINFORMATICS
- Vision and Brain How we perceive the world
