Arrested Development Drinking Rules
Originally posted by Dan on 16:21 Fri 28 August 2009, last modified 16:40 Fri 28 August 2009.
File under: arrested development drinking games
Originally posted by Dan on 16:21 Fri 28 August 2009, last modified 16:40 Fri 28 August 2009.
File under: arrested development drinking games
Originally posted by Dan on 15:59 Sun 27 April 2008, last modified 08:05 Mon 17 November 2008.
File under: image processing math moments objective-c phd programming shape description
Shape description by image moments is a popular topic in image processing. Standard geometric moments are based on a non-orthogonal basis, which has introduced some problems for image reconstruction. Orthogonal moments such as Zernike and Legendre Moments which use orthogonal polynomials have been introduced to overcome this problem. These however are based on continuous polynomials, and are not really suited to digital images processing which is inherently rooted in a discrete domain. Hence, a new type of discrete orthogonal moments, based on Tchebichef polynomials has emerged.
read more...Originally posted by Dan on 15:35 Wed 6 February 2008, last modified 12:45 Sat 9 February 2008.
File under: 3rd party tools git phd programming scm software
Source Code Management (SCM) is one of those things that computer scientists and geeks love to talk about, and I think I've just worked out why! When you get a new SCM tool working, and the coin drops - it's awesome! It's like the most impressive Hello World ever. Previously I've used Concurrent Versions System (CVS), which is the only time I've actively collaborated on a software project, and when I started my PhD I used Subversion. I'm a follower of fashion when it comes to SCMs, and as you've probably seen, Git has been spotted all over the internet. So I thought I'd investigate, and this is what I've discovered after using it for around 3 months.
read more...Originally posted by Dan on 13:07 Mon 28 January 2008, last modified 13:07 Mon 28 January 2008.
File under: phd
Originally posted by Dan on 16:28 Thu 17 January 2008, last modified 16:33 Thu 17 January 2008.
File under: software
Originally posted by Dan on 14:46 Thu 27 September 2007, last modified 18:27 Sat 15 December 2007.
File under: object segmentation objective-c phd programming
Originally posted by Dan on 08:09 Wed 19 September 2007, last modified 12:43 Thu 6 November 2008.
File under: objective-c os x programming
Originally posted by Dan on 11:13 Sat 14 July 2007, last modified 11:24 Sat 14 July 2007.
File under: 3rd party tools covariates MySQL phd
Originally posted by Dan on 08:45 Mon 14 May 2007, last modified 08:58 Mon 14 May 2007.
File under: 3rd party tools os x software webdesign
Coda is a pretty good application for web development, and for a version 1.0 bit of software it's also fairly polished. However it's not excellent, and there are a couple of quirks which annoy me enough to write this:
Originally posted by Dan on 16:12 Mon 7 May 2007, last modified 02:26 Thu 17 May 2007.
File under: curve fitting geostatistics math maximum liklihood phd programming python spatial analysis
Many spatially distributed data exhibit anisotropic spatial variation, especially when the data are distributed over a large area. The Semivariogram, or commonly (and inaccurately) just variogram is a measure of spatial correlation. It simply plots the semivariance (which is half the variance) of two points separated by a vector h against the magnitude of h. Easy right? Well there is a little bit more to it...
Originally posted by Dan on 07:00 Wed 14 March 2007, last modified 10:24 Sat 12 May 2007.
File under: curve fitting math maximum liklihood phd programming python regression
The method of least squares, or even simply maximum likelihood is one of the more powerful tools available to a statistician. It is powerful because its simplicity means it can be used in a variety of regression problems.
Regression simply means line fitting, and lines are just a graphical way to represent a model, which is the mathematical way to describe the relationship between an independent variable and one or more dependent variables. There is a lot of text on linear straight line fitting, so I’m not going to go into too much detail. I will however briefly discuss the principle behind least squares.
read more...Originally posted by Dan on 06:00 Mon 6 November 2006, last modified 12:34 Mon 7 May 2007.
File under: covariates databases MySQL phd
Okay, so I need to investigate the effect of covariates on influenza infections across a country. Covariates are basically cofounding variables, that may be predictive of the outcome under study. I'm investigating influenza - so lets look at population density. To analyse such data, we need a system to store and retrieve it; a database.
read more...Originally posted by Dan on 05:00 Wed 31 May 2006, last modified 12:40 Thu 10 May 2007.
File under: 3rd party tools os x programming
I do like my graphical front ends; but I am also quite partial the the unix back end of OS X. The AI of SAMRAI stands for Application Infrastructure, which means that it is essentially a lot of code that helps someone wishing to develop a parallel adaptive mesh refinement application do exactly that. Applications are built using the Makefile system; SAMRAI has a configure file, so that it can be incorporated into the developer's own Makefile.
To use Xcode with SAMRAI, it just requires modifiying some build settings, and adding some libraries. Here's what you do...
read more...Originally posted by Dan on 05:00 Mon 29 May 2006, last modified 13:41 Mon 7 May 2007.
File under: 3rd party tools c++ os x programming
I actually started this post around early April, but discovered that my SAMRAI install wasn't actually quite right; which took me a month or so to sort out. Eventually I got SAMRAI and a Level Set Method library working. Only now have I found time to putting some information on the web that some people might find useful.
Originally posted by Dan on 06:00 Thu 9 February 2006, last modified 19:30 Sat 15 December 2007.
File under: c++ phd programming
Since my standard greedy algorithm works as expected, I made a C++ class from it, using the Cool Image C++ library. This then provides blistering computation of the minimisation process, compared to Python. It does mean I've had to descend into the depths of declaring what sort of variable I want, rather than just its name, but oh well I can't have everything.
Originally posted by Dan on 06:00 Fri 27 January 2006, last modified 12:17 Mon 7 May 2007.
File under: active contours object segmentation phd
As already stated, active contours have difficulties progressing into concave boundaries. This has motivated research in this area, with some prominent findings, one of which is discussed here.
Originally posted by Dan on 06:00 Thu 26 January 2006, last modified 13:35 Mon 7 May 2007.
File under: active contours math phd programming python
In order to analyse the frequency components of a curve using Fourier we must first represent it mathematically. As we are working with images, a discrete spatial domain, then we have to deal with discretisation.
Originally posted by Dan on 06:00 Wed 9 March 2005, last modified 20:04 Tue 5 June 2007.
File under: 3rd year project image processing programming python
Sobel edge detection is a popular technique as it can deliver good results, without excessive computational requirements. The technique utilises the theory of optimal smoothing (Gaussian), and optimal differencing.
read more...Originally posted by Dan on 06:00 Thu 24 February 2005, last modified 19:43 Tue 5 June 2007.
File under: 3rd year project image processing programming python
The Hough Transform (HT) is an image processing operation which enables the extraction of shapes, essentially lines from images. The principle is that there are an infinite number of line that pass though any point, each at a different orientation. The HT aims to determine which of those theoretical lines pass though most features in an image.
read more...Originally posted by Dan on 06:00 Fri 10 December 2004, last modified 19:44 Tue 5 June 2007.
File under: 3rd year project programming python software