Shift exhibition : Work implements for the legal immigrant (2018)

Exhibition: Shift. This exhibition is one of two that comprise a collaborative project between Blue Roof Museum, Chengdu, China and Wintec researchers, Hamilton, NZ. Wintec artists and Chengdu artists made up this exhibition and was curated by Ding Fenqi, Blue Roof Museum and Eliza Webster, Wallace Gallery , Morrinsville, NZ. Notions of community, technology and exchange were explored in the exhibition This sculptural work explores ideas of work, location/relocation and transferable skills

Potential causes of mortality for horseshoe crabs (Limulus polyphemus) during the biomedical bleeding process

Biomedical companies catch and bleed horseshoe crabs for the production of Limulus amebocyte lysate (LAL), a product used for protecting public health (Berkson and Shuster, 1999). LAL is a clotting agent, derived solely from horseshoe crab blood cells, which is used to detect the presence of pathogenic gramnegative bacteria in injectable drugs and implantable medical and dental devices (Mikkelsen, 1988; Novitsky, 1991). In addition, LAL is used in many diagnostic tests for such illnesses as gram-negative bacterial meningitis and typhoid fever (Ding and Ho, 2001). Because the LAL test allows one to detect femtogram levels of endotoxin (Ding and Ho, 2001), it is the most effective test for detecting endotoxin contamination, and its increasing use in medical and pharmaceutical laboratories makes it a highly valued product

Dr Dingwall's Casebook: Part Two: 'Dirty Ding'

Eric John Dingwall, author, anthropologist, librarian, psychic investigator, and, to some, the ‘British Kinsey’ is less well-known than his erstwhile colleague and sometime adversary, Harry Price, but is a figure of equal interest

Probabilistic Image Colorization

We develop a probabilistic technique for colorizing grayscale natural images. In light of the intrinsic uncertainty of this task, the proposed probabilistic framework has numerous desirable properties. In particular, our model is able to produce multiple plausible and vivid colorizations for a given grayscale image and is one of the first colorization models to provide a proper stochastic sampling scheme. Moreover, our training procedure is supported by a rigorous theoretical framework that does not require any ad hoc heuristics and allows for efficient modeling and learning of the joint pixel color distribution. We demonstrate strong quantitative and qualitative experimental results on the CIFAR-10 dataset and the challenging ILSVRC 2012 dataset

Online Feature Selection for Visual Tracking

Object tracking is one of the most important tasks in many applications of computer vision. Many tracking methods use a fixed set of features ignoring that appearance of a target object may change drastically due to intrinsic and extrinsic factors. The ability to dynamically identify discriminative features would help in handling the appearance variability by improving tracking performance. The contribution of this work is threefold. Firstly, this paper presents a collection of several modern feature selection approaches selected among filter, embedded, and wrapper methods. Secondly, we provide extensive tests regarding the classification task intended to explore the strengths and weaknesses of the proposed methods with the goal to identify the right candidates for online tracking. Finally, we show how feature selection mechanisms can be successfully employed for ranking the features used by a tracking system, maintaining high frame rates. In particular, feature selection mounted on the Adaptive Color Tracking (ACT) system operates at over 110 FPS. This work demonstrates the importance of feature selection in online and realtime applications, resulted in what is clearly a very impressive performance, our solutions improve by 3% up to 7% the baseline ACT while providing superior results compared to 29 state-of-the-art tracking methods

Massachusetts communities at risk: a report from the Municipal Finance Task Force

Results and recommendations from an analysis of municipal finances and local aid during the period 1981 to 2005.Municipal finance - Massachusetts