Presents//presence: Telematics, performance and embodiment

Of giving and receiving // Of giving and taking // Of exchanges
Reciprocity // Mutuality // Expectations

A performance of liveness in which the presence of the performer is interrogated.

Drawing on Dan Graham's (1974) Two Consciousness Project, Presents//Presence plays on Object = Space relationships. Engaging with contemporary notions of thinking and consciousness, the performance plays with time - the here and now, the passage of time, time zones, and timing.

Lovers. An anniversary. Fine Dining. Distance. Skype.

Presents disrupt subject positions of audience, of performer; something happens while we are waiting for something else to happen. Through the use portable computers and hand-held (smart) devices for the capture and 'projection' of action in real time, the exploration sets out to engage with notions live and remote, absence and presence, the play of embodied transmission and live performance and the perception of absence.

Through a simulation of the simultaneous presences (performances) of performers Magda Miranda and Rea Dennis, Presents//Presence is a performative event that (re) activates live/d moments in the lives of the artists. Such presence characterizes computer time – “a permanent present, an unbounded, timeless intensity” (Virilio in Dixon 90). Such presence could also be said to characterize the intra-subjective experience of intimacy. The piece draws on the languages of live theatre, elements of autobiographical performance, inter- and intra-subjective perception, and an understanding of time as a spatial metaphor. This paper reports on the performance event Presents//Presence. In it, we outline the narrative and structural anchors that frame the piece and discuss some of the theoretical threads informing the research. The paper is accompanied by a recording of the performance that was delivered to a live audience at University of South Wales, Cardiff during the Remote Encounters conference in April 2013.

When i look outside the window my shoes creak

 A solo exhibition consisting of a video projection

Conversation

 'Conversation' was part of Melbourne Urban Screens Festival at Federation Square from 3 - 5 Oct. 2008 and Rotterdam International Film Festival (38th : 2009 : Rotterdam, The Netherlands) from 21 Jan. - 1 Feb. 2009. Both events curated by Mirjam Struppek

Forest of gestures : video installation and performance work

Invitation to contribute to Alexander Harrisions' program 'What's Coming' resulted in 'Forest of Gestures' a 3 channel video projection and installation with a live feed component

Frayed

A solo exhibition using large scale video projection and sound with accompanying catalogue 'Semblance at the Top' by Melissa Amore

Learning user preference patterns for Top-N recommendations

In this paper, we observe that the user preference styles tend to change regularly following certain patterns. Therefore, we propose a Preference Pattern model to capture the user preference styles and their temporal dynamics, and apply this model to improve the accuracy of the Top-N recommendation. Precisely, a preference pattern is defined as a set of user preference styles sorted in a time order. The basic idea is to model user preference styles and their temporal dynamics by constructing a representative subspace with an Expectation- Maximization (EM)-like algorithm, which works in an iterative fashion by refining the global and the personal preference styles simultaneously. Then, the degree which the recommendations match the active user's preference styles, can be estimated by measuring its reconstruction error from its projection on the representative subspace. The experiment results indicate that the proposed model is robust to the data sparsity problem, and can significantly outperform the state-of-the-art algorithms on the Top-N recommendation in terms of accuracy. © 2012 IEEE.

Influence functions of two families of robust estimators under proportional scatter matrices

In this paper, under a proportional model, two families of robust estimates for the proportionality constants, the common principal axes and their size are discussed. The first approach is obtained by plugging robust scatter matrices on the maximum likelihood equations for normal data. A projection- pursuit and a modified projection-pursuit approach, adapted to the proportional setting, are also considered. For all families of estimates, partial influence functions are obtained and asymptotic variances are derived from them. The performance of the estimates is compared through a Monte Carlo study. © 2006 Springer-Verlag.

Sparse representation with multi-manifold analysis for texture classification from few training images

Texture classification is one of the most important tasks in computer vision field and it has been extensively investigated in the last several decades. Previous texture classification methods mainly used the template matching based methods such as Support Vector Machine and k-Nearest-Neighbour for classification. Given enough training images the state-of-the-art texture classification methods could achieve very high classification accuracies on some benchmark databases. However, when the number of training images is limited, which usually happens in real-world applications because of the high cost of obtaining labelled data, the classification accuracies of those state-of-the-art methods would deteriorate due to the overfitting effect. In this paper we aim to develop a novel framework that could correctly classify textural images with only a small number of training images. By taking into account the repetition and sparsity property of textures we propose a sparse representation based multi-manifold analysis framework for texture classification from few training images. A set of new training samples are generated from each training image by a scale and spatial pyramid, and then the training samples belonging to each class are modelled by a manifold based on sparse representation. We learn a dictionary of sparse representation and a projection matrix for each class and classify the test images based on the projected reconstruction errors. The framework provides a more compact model than the template matching based texture classification methods, and mitigates the overfitting effect. Experimental results show that the proposed method could achieve reasonably high generalization capability even with as few as 3 training images, and significantly outperforms the state-of-the-art texture classification approaches on three benchmark datasets. © 2014 Elsevier B.V. All rights reserved.

Hallucinating optimal high-dimensional subspaces

Linear subspace representations of appearance variation are pervasive in computer vision. This paper addresses the problem of robustly matching such subspaces (computing the similarity between them) when they are used to describe the scope of variations within sets of images of different (possibly greatly so) scales. A naïve solution of projecting the low-scale subspace into the high-scale image space is described first and subsequently shown to be inadequate, especially at large scale discrepancies. A successful approach is proposed instead. It consists of (i) an interpolated projection of the low-scale subspace into the high-scale space, which is followed by (ii) a rotation of this initial estimate within the bounds of the imposed "downsampling constraint". The optimal rotation is found in the closed-form which best aligns the high-scale reconstruction of the low-scale subspace with the reference it is compared to. The method is evaluated on the problem of matching sets of (i) face appearances under varying illumination and (ii) object appearances under varying viewpoint, using two large data sets. In comparison to the naïve matching, the proposed algorithm is shown to greatly increase the separation of between-class and within-class similarities, as well as produce far more meaningful modes of common appearance on which the match score is based. © 2014 Elsevier Ltd.

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

Spike sorting plays an important role in analysing electrophysiological data and understanding neural functions. Developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice. This paper proposes an automatic unsupervised spike sorting method using the landmark-based spectral clustering (LSC) method in connection with features extracted by the locality preserving projection (LPP) technique. Gap statistics is employed to evaluate the number of clusters before the LSC can be performed. Experimental results show that LPP spike features are more discriminative than those of the popular wavelet transformation (WT). Accordingly, the proposed method LPP-LSC demonstrates a significant dominance compared to the existing method that is the combination between WT feature extraction and the superparamagnetic clustering. LPP and LSC are both linear algorithms that help reduce computational burden and thus their combination can be applied into realtime spike analysis.

Recent advances on singlemodal and multimodal face recognition : A survey

High performance for face recognition systems occurs in controlled environments and degrades with variations in illumination, facial expression, and pose. Efforts have been made to explore alternate face modalities such as infrared (IR) and 3-D for face recognition. Studies also demonstrate that fusion of multiple face modalities improve performance as compared with singlemodal face recognition. This paper categorizes these algorithms into singlemodal and multimodal face recognition and evaluates methods within each category via detailed descriptions of representative work and summarizations in tables. Advantages and disadvantages of each modality for face recognition are analyzed. In addition, face databases and system evaluations are also covered.

The swimmer (The Bridge Project)

The Bridge Project (The Swimmer). The project produces two substantive outcomes: 1. The creation of a (multi-projection) video installation work for the Kingston Art Centre. The work transforms a redundant 3rd story walk-bridge into a virtual swimming pool. 2. In the process of transforming the walk-bridge, the project creates a new permanent and highly visible exhibition space for artists working in digital media. This allows the possibility for producing a series of works (or “outputs” if you like) that respond to the site and its cultural setting. It also provides an exhibition space for other staff and students working in digital media.

Formica

The title of the work, Formica, speaks both to the work’s insect motif – formica is Latin for ant - but also to the 2-dimensional nature of the projection screen – Formica is also a kind of decorative laminate surface. This is Grennan’s second video installation work commissioned specifically for the Kingston Art Centre’s Bridge Space. Following on from the first project - which transformed a dilapidated 3rd story pedestrian corridor into a virtual swimming pool - this work continues to explore the residual meanings of the corridor as a liminal, in-between, or non-space. The new work seeks to again reply aesthetically and poetically to the site’s external setting dominated as it is by the heavy commuter traffic along the Nepean Highway. Scale is central to the work. In Formica, Grennan constructs a scaled-down Perspex replica of the walk-bridge, and with the help of Patrick Honan and Museum Victoria (where Patrick, an entomologist, is head of live exhibits), he populates the corridor with live Bull Ants. The work records these colossal ants as they negotiate the non-space of the corridor and fulfil their metaphorical roles as standardised commuters. With nowhere to go, however, the ants subvert this assigned role and exhibit far more nuanced and individuated behaviour as they investigate, probe, prevaricate, dawdle, or preen idly as though performing some insectile version of Waiting for Godot.

A method for stereo-vision based tracking for robotic applications

Vision based tracking of an object using the ideas of perspective projection inherently consists of nonlinearly modelled measurements although the underlying dynamic system that encompasses the object and the vision sensors can be linear. Based on a necessary stereo vision setting, we introduce an appropriate measurement conversion techniques which subsequently facilitate using a linear filter. Linear filter together with the aforementioned measurement conversion approach conforms a robust linear filter that is based on the set values state estimation ideas; a particularly rich area in the robust control literature. We provide a rigorously theoretical analysis to ensure bounded state estimation errors formulated in terms of an ellipsoidal set in which the actual state is guaranteed to be included to an arbitrary high probability. Using computer simulations as well as a practical implementation consisting of a robotic manipulator, we demonstrate our linear robust filter significantly outperforms the traditionally used extended Kalman filter under this stereo vision scenario. © 2008 IEEE.

An extension of the flower pattern diagram for roll forming

The initial process design of a roll forming system is often based on the traditional ‘flower pattern diagram’. In this diagram, the cross sections of the strip at each roll stand are superimposed on a single plane; the diagram is a 2D representation of the 3D process. In the present work, the flower pattern is extended into three dimensions. To demonstrate the method, the forming path or trajectory of a point at the edge of the strip during forming a V-section is considered. The forming path is a surface curve that lies on a cylindrical surface having its axis along the machine axis. This surface is unwrapped to give its plane development and important features of the forming process can be determined and are readily interpreted from this plane curve. It is shown that at any stage in the process, the axial strain and the curvature of the sheet adjacent to the point are dependent on the slope of the trajectory in this plane projection. This new diagram, which apparently has not been used previously, provides a useful initial method of examining the roll forming process and optimising the flower pattern. The model is purely geometric, as is the original flower pattern approach, and does not include the effect of material behaviour. The concept is applied to several cases available in the literature. It shows that the lowest level of shape defect in the part is achieved when the trajectory of the strip edge follows the shortest line length between the start and finish of forming, leading to the least longitudinal strain introduced in the flange. This trend is in agreement with previous experimental observations, suggesting that the analytical model proposed may be applied for early process design and optimisation before time-consuming numerical analysis is performed.