Holding the purse strings : the continuing evolution of human rights law and the potential liability of the finance industry for human rights abuses

While the responsibility of States and, in more recent times, corporations, has been thoroughly discussed in relation to human right~, a new stage of evolution may be emerging in relation to the liability of the financial backers of an enterprise that is accused of human rights abuses. This article considers the basis in international law for such emerging liability and examines some of the legal avenues used in recent domestic litigation against financial institutions. The article concludes by examining some of the relevant instruments of 'soft' international law and notes that although there is little in the way of concrete legislation or judicial precedent that would hold financial institutions responsible for the actions of those they invest in, the potential for the law to evolve in that direction is clear.

An algorithm for logit network loading problem by topological sorting

This paper presents a topological sorting based algorithm for logit network loading problem to exclude all cycles by removing certain links from loops. The new algorithm calculates the link weights and flows according to topological order. It produces the theoretical results for networks without loops. Numerical examples show that the new algorithm can reduce errors introduced by the strict definition of 'reasonable route' in Dial's algorithm.

An automated classification system based on the strings of trojan and virus families

Classifying malware correctly is an important research issue for anti-malware software producers. This paper presents an effective and efficient malware classification technique based on string information using several wellknown classification algorithms. In our testing we extracted the printable strings from 1367 samples, including unpacked trojans and viruses and clean files. Information describing the printable strings contained in each sample was input to various classification algorithms, including treebased classifiers, a nearest neighbour algorithm, statistical algorithms and AdaBoost. Using k-fold cross validation on the unpacked malware and clean files, we achieved a classification accuracy of 97%. Our results reveal that strings from library code (rather than malicious code itself) can be utilised to distinguish different malware families.

The effects of topological inaccuracy in evolutionary trees on the phylogenetic comparative method of independent contrasts

Computer simulations were used to test the effect of increasing phylogenetic topological inaccuracy on the results obtained from correlation tests of independent contrasts. Predictably, increasing the number of disruptions in the tree increases the likelihood of significant error in the r values produced and in the statistical conclusions drawn from the analysis. However, the position of the disruption in the tree is important: Disruptions closer to the tips of the tree have a greater effect than do disruptions that are close to the root of the tree. Independent contrasts derived from inaccurate topologies are more likely to lead to erroneous conclusions when there is a true significant relationship between the variables being tested (i.e., they tend to be conservative). The results also suggest that random phylogenies perform no better than nonphylogenetic analyses and, under certain conditions, may perform even worse than analyses using raw species data. Therefore, the use of random phylogenies is not beneficial in the absence of knowledge of the true phylogeny.

Alight (piano and strings)

A composition written on the piano and accompanied by synth strings; a light, elegant and beautiful journey.

Locating defense positions for thwarting the propagation of topological worms

A common view for the preferable positions of thwarting worm propagation is at the highly connected nodes. However, in certain conditions, such as when some popular users (highly connected nodes in the network) have more vigilance on the malicious codes, this may not always be the truth. In this letter, we propose a measure of betweenness and closeness to locate the most suitable positions for slowing down the worm propagation. This work provides practical values to the defense of topological worms.

Beyond the topological map : developing alternate mappings in self organisation

The self organising map is a well established unsupervised
learning technique which is able to form sophisticated representations of an input data set. However, conventional Self Organising Map (SOM) algorithms are limited to the production of topological maps — that is, maps where distance between points on the map have a direct relationship to the Euclidean distance between the training vectors corresponding to those points.

It would be desirable to be able to create maps which form clusters on primitive attributes other than Euclidean distance; for example, clusters based upon orientation or shape. Such maps could provide a novel approach to pattern recognition tasks by providing a new method to associate groups of data.

In this paper, it is shown that the type of map produced by SOM algorithms is a direct consequence of the lateral connection strategy employed. Given this knowledge, a technique is required to establish the feasability of using an alternative lateral connection strategy. Such a technique is presented. Using this technique, it is possible to rule out lateral connection strategies that will not produce output states useful to the organisation process. This technique is demonstrated using conventional Laplacian interconnection as well as a number of novel interconnection strategies.

Book Review: Broken Strings by Maria Farrer

Review article of _Broken Strings_ by Maria Farrer

Kivy on justifying music in liberal education

Within analytical aesthetic circles, Peter Kivy is best known for re-igniting the debate inaugurated by Eduard Hanslick over the issue of whether or not music of the purely instrumental or absolute kind can be said to express a content, and, if so, whether or not listeners' emotional responses to it bear any relation to that content. Kivy's particular contribution countenances the possibility of interpreting the appearance of a musical work as expressive - be it the percussive Allegro barbara [1911] by Bela Bartok or the lyrical Adagio for Strings {1936] by Samuel Barber - without having to presume that music itself, being non-sentient by nature, possesses any emotional, subjective state.  This short essay, however, will critically examine a rather neglected facet of Kivy's prolific writings. In a relatively recent attempt to justify the place of purely instrumental music in liberal education without drawing upon the above-mentioned notion of expressiveness, Kivy reconceptualizes the matter in a manner that significantly shifts us from the dominant epistemological arena of debate. No longer are we to dispute the place of music within the terms set by the highly influential forms-of-knowledge approach revived by P.H. Hirst a generation ago and currently under revision by Jim McKenzie in terms of forms of argumentative discourse. But before first surveying and then critically assessing Kivy's proposal, perhaps we should briefly remind ourselves of the contrasting frame of reference associated with Hirst.

Image matching using TI multi-wavelet transform

A multi-resolution image matching technique based on multiwavelets followed by a coarse to fine strategy is presented. The technique addresses the estimation of optimal corresponding points and the corresponding disparity maps in the presence of occlusion, ambiguity and illuminative variations in the two perspective views taken by two different cameras or at different lighting conditions. The problem of occlusion and ambiguity is addressed by a geometric topological refining approach along with the uniqueness constraint whereas the illuminative variation is dealt by using windowed normalized correlation.

Introductory computer programming as a means for extending spatial and temporal understanding

Should computer programming be taught within schools of architecture?

Incorporating even low-level computer programming within architectural education curricula is a matter of debate but we have found it useful to do so for two reasons: as an introduction or at least a consolidation of the realm of descriptive geometry and in providing an environment for experimenting in morphological time-based change.

Mathematics and descriptive geometry formed a significant proportion of architectural education until the end of the 19th century. This proportion has declined in contemporary curricula, possibly at some cost for despite major advances in automated manufacture, Cartesian measurement is still the principal ‘language’ with which to describe building for construction purposes. When computer programming is used as a platform for instruction in logic and spatial representation, the waning interest in mathematics as a basis for spatial description can be readdressed using a left-field approach. Students gain insights into topology, Cartesian space and morphology through programmatic form finding, as opposed to through direct manipulation.

In this context, it matters to the architect-programmer how the program operates more than what it does. This paper describes an assignment where students are given a figurative conceptual space comprising the three Cartesian axes with a cube at its centre. Six Phileban solids mark the Cartesian axial limits to the space. Any point in this space represents a hybrid of one, two or three transformations from the central cube towards the various Phileban solids. Students are asked to predict the topological and morphological outcomes of the operations. Through programming, they become aware of morphogenesis and hybridisation. Here we articulate the hypothesis above and report on the outcome from a student group, whose work reveals wider learning opportunities for architecture students in computer programming than conventionally assumed.

Understanding science

"Understanding Science is about breakdown of meaning, breakdown of relationship, trying to exist in that space between meaninglessness and understanding, at its cusp, its node, its no-man’s land.. It is a melting pot of more than just fragments of images, there are clusters of things, ideas, sounds, words, that swim in and out of your attention. I wanted this film to be a dense multidimensional collage of automatic writing, sound poetry and abstracting strings of images." http://www.innersense.com.au/mif/debruyn_films.html

Proceedings : 10th International Multimedia Modeling Conference : MMM 2004 : Brisbane, Australia, 5-7 January 2004

The International Multimedia Modelling conference series is an annual forum to discuss the efficient representation, processing, interaction, integration, communication, and retrieval of multimedia information.
In particular, the 10th International Multimedia Modelling Conference (MMM2004) concentrates on common modelling frameworks for integrating the diverse fields of visual, audio, video, and
virtual world information.
MMM2004 deals with emerging Multimedia Modelling topics including:
• Multimedia Databases
• Audio Processing, Coding and Encryption
• Network Games and Animation
• Video Applications
• Multimedia Frameworks and QoS
• Topological and 3D Geometric Modelling
• Image Applications
• Image Retrieval
• Modelling / Editing / Virtual Environment
• Video Retrieval and Browsing

Stereo correspondence estimation using multiwavelets scale-space representation-based multiresolution analysis

A multiresolution technique based on multiwavelets scale-space representation for stereo correspondence estimation is presented. The technique uses the well-known coarse-to-fine strategy, involving the calculation of stereo correspondences at the coarsest resolution level with consequent refinement up to the finest level. Vector coefficients of the multiwavelets transform modulus are used as corresponding features, where modulus maxima defines the shift invariant high-level features (multiscale edges) with phase pointing to the normal of the feature surface. The technique addresses the estimation of optimal corresponding points and the corresponding 2D disparity maps. Illuminative variation that can exist between the perspective views of the same scene is controlled using scale normalization at each decomposition level by dividing the details space coefficients with approximation space. The problems of ambiguity, explicitly, and occlusion, implicitly, are addressed by using a geometric topological refinement procedure. Geometric refinement is based on a symbolic tagging procedure introduced to keep only the most consistent matches in consideration. Symbolic tagging is performed based on probability of occurrence and multiple thresholds. The whole procedure is constrained by the uniqueness and continuity of the corresponding stereo features. The comparative performance of the proposed algorithm with eight famous existing algorithms, presented in the literature, is shown to validate the claims of promising performance of the proposed algorithm.