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TINA Memos: Advanced Applied Statistics

year

1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009

Introduction

These memos contain a combination of derivations of statistical procedures combined with discussions of appropriate use of advanced methods. In particular material is presented which discusses Bayes Theory and the non-equivalence of probability and probability densities, which we believe has important consequences for the fields of computer vision and pattern recognition. In addition, several documents discuss the origins of `information' based measures and their often inappropriate use as cost fucntions.

Memo Index

Number Title Authors File Updated
1993-001 Statistical Analysis of a Stereo Matching Algorithm. N.A.Thacker and P.Courtney. pdf 16/10/04
1994
1994-003 Using a Switchable Model Kalman Filter. A.J.Lacey, N.A.Thacker and N.L.Seed. pdf 11/12/07
1996
1996-002 Tutorial: The Likelihood Interpretation of the Kalman Filter. N.A.Thacker, A.J.Lacey. pdf 11/12/07
1997
1997-001 The Bhattacharyya Metric as an Absolute Similarity Measure for Frequency Coded Data. N. A. Thacker, F. J. Aherne and P. I. Rockett pdf 29/08/08
1997-002 Supervised Learning Extensions to the CLAM Network. N. A. Thacker, I.A.Abraham and P.Courtney. pdf 11/12/07
1997-003 Tutorial: Supervised Neural Networks in Machine Vision. N. A. Thacker. pdf 11/12/07
1999
1999-001 The Bhattacharyya Measure Requires No Bias Correction. N.A.Thacker. pdf 24/06/08
1999-004 B-Fitting: An Estimation Technique With Automatic Parameter Selection. N.A.Thacker, D.Prendergast, and P.I.Rockett. pdf 13/11/07
1999-006 The Application of the Bhattacharra Measure as a Selector of the Point of Optimal Generalisation During Neural Network Training. P. Rockett and N. A. Thacker. pdf 04/11/05
2000
2000-003 Tutorial: Statistics and Estimation in Algorithmic Vision. N.A.Thacker. pdf 17/04/08
2001
2001-005 Model Selection and Convergence of the EM Algorithm. N.A. Thacker, M. Pokric and A.J.Lacey. pdf 13/11/07
2001-007 Performance Characterisation in Computer Vision: The Role of Statistics in Testing and Design. P. Courtney and N.A.Thacker. pdf 13/11/07
2001-008 Derivation of the Renormalisation Formula for the Product of Uniform Probability Distributions and Extension to Non-Integer Dimensionality. P. A. Bromiley, T.F. Cootes and N.A. Thacker pdf 13/11/07
2001-010 The Effects of a Square Root Transform on a Poisson Distributed Quantity. N.A. Thacker and P.A. Bromiley pdf 13/11/07
2001-013 Computing Covariances for Mutual Information Co-registration. N.A. Thacker, P.A. Bromiley and M. Pokric pdf 10/11/04
2001-014 Bayesian and Non-Bayesian Probabilistic Models for Image Analysis P.A. Bromiley, N.A. Thacker, M.L.J. Scott, M. Pokric, A.J. Lacey and T.F. Cootes pdf 13/11/07
2002
2002-002 Validating MRI Field Homogeneity Correction Using Image Information Measures. N.A.Thacker , A. J. Lacey and P. A. Bromiley. pdf 13/11/07
2002-007 The Effects of an Arcsin Square Root Transform on a Binomial Distributed Quantity. P.A. Bromiley and N.A. Thacker pdf 20/11/07
2002-009 Using Quantitative Statistics for the Construction of Machine Vision Systems. N.A.Thacker pdf 13/11/06
2003
2003-002 Computing Covariances for Mutual Information Coregistration 2 P.A. Bromiley and N.A. Thacker pdf 12/04/05
2003-003 Products and Convolutions of Gaussian Distributions P.A. Bromiley pdf 16/07/04
2004
2004-004 Shannon Entropy, Renyi Entropy, and Information P.A. Bromiley, N.A. Thacker and E. Bouhova-Thacker pdf 11/12/07
2004-005 The Equal Variance Domain: Issues Surrounding the Use of Probability Densities in Algorithm Design Neil A. Thacker, Paul A. Bromiley and Emanuele Trucco pdf 19/07/08
2004-006 Parameter Estimation for EM Mixture Modelling and its Relationship to Likelihood and EML. N.A.Thacker. pdf 06/06/08
2004-010 Critical Values for the Test of Flatness of a Histogram Using the Bhattacharyya Measure. M.L.J.Scott. pdf 27/11/04
2005
2005-006 Curve Fitting and Image Potentials: A Unification within the Likelihood Framework. N.A.Thacker. pdf 13/11/07
2005-008 Tutorial: Statistical Design of Quantitative Vision Systems; Beyond Likelihood N.A.Thacker pdf 27/08/08
2005-011 Comparing the Performance of Least-Squares Estimators: when is GTLS Better than LS? A. Nayak, E. Trucco and N.A. Thacker pdf 13/11/07
2006
2006-008 Statistical Principles for Selection of Computer Vision Algorithms as Modules for Visual Perception - Show Me the Errors. N. A. Thacker and P. A. Bromiley. pdf 15/04/08
2007
2007-001 Retinal Sampling, Feature Detection and Saccades; ~ A Statistical Perspective. Neil Thacker and Charles Leek. pdf 13/11/07
2007-002 Pad\'e Approximant: How to... and Why. D.C.Williamson and N.A.Thacker pdf 23/03/07
2007-008 Tutorial: Defining Probability for Science. Neil A. Thacker. pdf 21/11/08
2007-010 Parameter Estimation for EM in the Presence of Noise. N. A. Thacker and P.A.Bromiley. pdf 01/09/07
2008
2008-004 A Statistical Interpretation of Non-Local Means. N. A. Thacker and J.V. Manjon. pdf 20/05/08
2008-005 Tutorial: Least-Squares Fitting P. A. Bromiley pdf 13/06/08

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