Research Publications
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| Numerous methods have been proposed for the expression-invariant 3D face recognition, but a little attention is given to the local-based representation for the texture of the 3D images. In this paper, we propose an expression-invariant 3D face recognition... The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust ... Many organizations are introducing Service Oriented Architecture (SOA) as part of their business transformation projects to take advantage of the proposed benefits associated with using SOA. However, in many cases organizations don’t necessarily know on ... While much-hyped, cloud computing offers early adopters potentially significant benefits. However, important barriers to adoption have also been identified. This paper canvasses and discusses the ‘state of play’ of cloud computing risks. The paper reviews... The L4.verified project has produced a formal, machine-checked Isabelle/HOL proof that the C code of the seL4 OS microkernel correctly implements its abstract implementation. This paper briefly summarises the proof, its main implications and ... Runtime adaptation refers to the ability of a software system changing the functionality during runtime based on the operating environment. Such runtime adaptability is one of the desired quality attributes in today’s business process systems, which need ... This is the 5th Middleware for Service Oriented Computing (SOC) workshop, organized annually at the ACM/IFIP/USENIX International Middleware Conference. Each received research paper submission was peer-reviewed (with blinded author data) by five members ... Unfortunately, it is not completely clear what is "cloud computing" and what is not "cloud computing". A straightforward definition says that cloud computing technologies enable provisioning of computing infrastructure (e.g., memory storage), platforms (... In November 2009 the researcher embarked on a project aimed at reducing the amount of paper used by Queensland University of Technology (QUT) staff in their daily workplace activities. The key goal was to communicate to staff that excessive printing has a... High cognitive load induced by complex, time-pressured tasks have been found to impact performance and multimodal behaviour. Monitoring specific interaction features can potentially detect cognitive load fluctuations. In this paper, we present a study ... Linear Regression is an instance of the Regression problem which is an approach to modelling a functional relationship between input variables x and an output/response variable y. In linear regression, a linear function of the input variables is used,... Regression is a fundamental problem in statistics and machine learning. In regression studies, we are typically interested in inferring a real-valued function (called a regression function) whose values correspond to the mean of a dependent (or ... The focus of digital tabletop research centers on the interactive display area. However, these displays are often integrated into a physical non-interactive structure, which have received little attention previously. In this paper, we investigate the ... The stable marriage problem has a wide variety of practical applications, including matching resident doctors to hospitals, and students to schools. In the classical stable marriage problem, both men and women express a strict order over the members of ... The two most important concepts used in Bayesian modelling are probability and utility. Probabilities are used to model our belief about the state of the world and utilities are used to model the value to us of different outcomes, thus to model costs ... The covariance between two univariate random variables measures how much they change together, and as a special case, the covariance of a random vari- able with itself is exactly its variance. It is important to note that covariance is an unnormalized ... Kernel methods refer to a class of techniques that employ positive definite kernels. At an algorithmic level, its basic idea is quite intuitive: implicitly map objects to high dimensional feature spaces, and then directly specify the inner product ... Consider a wireless sensor network with i.i.d. sen- sors following a homogeneous Poisson distribution in a given area A in R2. A sensor located at x2 ∈ A is directly connected to a sensor located at x1 ∈ A with probability g (x2 − x1), independent of any ... The network has become essential to our daily life, with the increase of dependence, challenges to the normal operation of the network bear ever more severe consequences. The challenges include malicious attacks, misconfigurations, faults, and operational... Wireless vehicular networks operating on the dedicated short-range communications (DSRC) frequency bands are the key enabling technologies for the emerging market of intelligent transport system (ITS). The wireless access in vehicular environments (... In this paper an extended Defeasible Logic framework is presented to do the representation and reasoning work for the normative-based contract management. A simple case based on FIDIC is followed as the usage example. This paper is based on... Software metrics play an important role in the management of professional software projects. Metrics are used, e.g., to track development progress, to measure restructuring impact and to estimate code quality. They are most beneficial if they can be ... The need to create trust and security in the digital world is currently a preoccupation of governments and private sector organisations globally. The digital world and the internet in particular were built on the assumption that using the internet was ... The growing demand for air travel in recent years has seen the development of new tools to help air traffic controllers manage their workload and continue to meet safety and performance standards [1]. However, studies have shown that these new tools do ... There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar like features have been adopted as the method of choice for ... We introduce NICTA telemedicine research report and focus on successful + not-successful business models, and the way in which the businesses engage with consumers + some anecdotes of consumer behavior. This paper presents a framework for global synchronization of dynamical networks with nonidentical nodes. Several criteria for synchronization are given using free matrices for both cases of synchronizing to a common equilibrium solution of all ... This paper examines the relationship between iso-disparity contours in stereo disparity space and planar surfaces in the scene. We specify constraints that may be exploited to group iso-disparity contours belonging to the same planar surface, and ... A new algorithm for Maximum likelihood blind image restoration is presented in this paper. It is obtained by modeling the original image and the additive noise as multivariate Gaussian processes with unknown covariance matrices. The blurring process ... A fundamental question in functional MRI (fMRI) data analysis is to declare pixels either activated or non-activated with respect to the experimental design. A new statistical test for detecting activated pixels in fMRI data is proposed. The test is ... Computed tomographic colonography (CTC) is a promising alternative to traditional invasive colonoscopic methods used in the detection and removal of cancerous growths, or polyps in the colon. Existing algorithms for CTC typically use a classifier to ... Existing polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, simply inspecting the curvature at a point is not ... Following a systematic review of over 200 case studies, we found seven key technology enablers, and seven barriers to uptake of tele-health. Of the barriers, regulatory (ie billing problems, jurisdictional, cost/beneficiary mismatch and other legal or ... Presentation slides for Global Telehealth, Perth. Talk presented: November 10, 2010. Abstract—This paper studies the local and global exponential synchronization of a complex dynamical network with switching topology and time-varying coupling delays. By using stability theory of switched systems and the network topology, the ... Specification of monitored context properties and their influence on operation of service-oriented systems and on management activities is a prerequisite for context-sensitive operation. We researched context specification for a management system ... The Resource Description Framework (RDF) is a flexible model for representing information about resources in the web. With the increasing amount of RDF data which is becoming available, ecient and scalable management of RDF data has become a fundamental... During business process design, working procedures in organizations are represented by process models. It is an important task in any process improvement project, but also both time consuming and error prone. While many organizations maintain large ... Probabilistic Latent Semantic Analysis (pLSA) is one of latent topic modeling approaches and has been successfully applied for scene recognition. The learning process employed in conventional pLSA is batch learning and hence it may not be feasible ... Generalized Hough Transform-based methods have been successfully applied to the object detection, especially to the task of pedestrian detection. Such methods rely on the class-specific codebooks to cast probabilistic votes for pedestrian hypotheses. ... In this paper, we propose STAP (Spatial-Temporal Affinity Propagation), an extension of the Affinity Propagation algorithm for feature points clustering, by incorporating temporal consistency of the clustering configurations between consecutive frames. By... One of the major challenges in real-world video-based face recognition is balancing computational efficiency with recognition accuracy. A significant design decision for any such system is whether to process and use all possible faces detected over the ... Despite their presence in almost all real-world navigational environments, finding stereo disparity in large, weakly textured regions is a difficult task. In this paper, we present a method which constructs a novel segmentation of an image into separate ... This paper presents the results of an independent evaluation of four different commercial wireless mesh network systems using IEEE 802.11 radios in the context of small-scale, rapid deployment scenarios in public safety and emergency applications. To ... We proffer totally-corrective multi-class boosting algorithms in this work. First, we discuss the methods that extend two-class boosting to multi-class classification by studying two existing boosting algorithms: AdaBoost.MO and SAMME. Based on the cost ... Real-time object detection is one of the core problems in computer vision. The cascade boosting framework proposed by Viola and Jones has become the standard for this problem. In this framework, the learning goal for each node is asymmetric, which ... Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. %attracted much attention in recent years.In this paper, we propose a structured support vector regression ... In this paper, a two-tier UMTS network is considered where a large number of randomly deployed Wideband Code Division Multiple Access (WCDMA) femtocells are laid under macrocells where the spectrum is shared. The co-channel interference between the cells ... This article provides a brief overview of generalization bounds in statistical learning theory. It will appear as an entry in the forthcoming Encyclopaedia of Machine Learning. Television shows like ‘CSI’ can give the impression that matching crime-scene fingerprints is fully automated. But it is actually humans (fingerprint experts) who ultimately decide whether a crime-scene print belongs to a suspect or not. Despite this fact... Optimal decision making in forensics and policing relies on humans and technology. But it is unclear how experts interface with technology to make their decisions. Our approach in determining how best to implement new technology and procedures is to ... This paper focuses on modelling sensor placement for traffic monitoring using vision based sensors. A significant problem with using such sensors is that vehicles can be merged in an amorphous group making detection difficult. Sensor placement has a ... We applied the log function of the queues into Approximate Dynamic Programming to build a better single-intersection traffic light controller. We then use a distributed network of this controller to control multiple intersection. The simulated results on ... This paper presents a preliminary study on controlling traffic signals using information collected via vehicle-to-infrastructure (V2I) communication. The key idea is to use vehicle speed and position as state variable, and construct a state-space ... We applied the log function of the queues into Approximate Dynamic Programming to build a better single-intersection traffic light controller. We then use a distributed network of this controller to control multiple intersection. The simulated results on a ... The existing IT (information technology) system management solutions are predominantly focused on optimization of technical QoS metrics (e.g., response time, availability). However, financial (e.g., profit) and other business value metrics (e.g., customer... This paper introduces a novel antipodal-epipolar constraint on relative camera motion. By using antipodal points, which are available in large Field-of-View cameras, the translational and rotational motions of a camera are geometrically decoupled, ... Graphs are widely used for modeling complicated data such as social networks, chemical compounds, protein interactions and semantic web. To e®ectively understand and utilize any collection of graphs, a graph database that efficiently supports elementary ... This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 ... When various technical and business changes related to Web service compositions occur, there is often a need for run-time adaptation with minimal human intervention. While many research projects work on particular types of such adaptation, much more ... The MAC layer protocol in wireless networks dynamically changes its transmission rate to adapt transmission to channel conditions. Such dynamic adaptations can improve per-hop performance in wireless networks and therefore increase the network ... AIM Given a set of pre-defined medical categories used in Evidence Based Medicine, we attempt to automatically annotate sentences in medical abstracts with these labels. METHOD We construct a corpus of 1,000 medical abstracts annotated by hand with ... We shall argue that burdens of proof are relevant also to monological reasoning, i.e., for deriving the conclusions of a knowledge-base allowing for conflicting arguments. Reasoning with burdens of proof can provide a useful extension of current ... Typically legal reasoning involves multiple temporal dimensions. The contribution of this work is to extend LKIF-rules (LKIF is a proposed mark-up language designed for legal documents and legal knowledge in ESTRELLA Project [3]) with temporal dimensions.... Simulations are widely used to judge the efficacy of proposed traffic control system implementations yet the performance of deployed systems with previous simulations is rarely documented. In this paper the simulated performance of a metered roundabout is... The Roads and Traffic Authority of NSW (RTA) and NICTA are engaged in a successful, ongoing research collaboration. RTA continues to develop the SCATS adaptive traffic control system working with NICTA to implement some of the innovations emerging from ... This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 ... Background: It has been increasingly clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental for complex diseases characterization. Despite the considerable effort in developing statistical models and ... Recently, game theory has been used to design optimized strategies for defending an electric power system against deliberate attacks. In this paper, we extend the current static model to a more generalized framework which includes several interaction ... The Semantic Web aims at automating Web content understanding and user request satisfaction. Intelligent agents assist towards this by performing complex actions on behalf of their users into real-life applications, such as e-Contracts, which make ... We propose a systematic investigation on how to modify a preference relation in a defeasible logic theory to change the conclusions of the theory itself. We argue that the approach we adopt is applicable to legal reasoning, where users, in general, ... We investigate the concept of norm compliance in business process modeling. In particular we propose an extension of Formal Contract Logic (FCL), a combination of defeasible logic and a logic of violation, with a richer deontic language capable of ... In this paper we present the well founded variants of ambiguity blocking and ambiguity propagating defeasible logics. We also show how to extend SPINdle, a state of the art, defeasible logic implementation to handle all such variants of defeasible ... The main source of changing requirements of the dynamic business environment is response to changes in regulations and contracts towards which businesses are obligated to comply. At the same time, many organizations have their business processes specified... Temporal information plays a crucial role in medicine, so that in Medical Informatics there is an increasing awareness that suitable database approaches are needed to store and support it. Specifically, a great amount of clinical data (e.g.... We propose an IDE – Integrated Development Environment to model SBVR (Semantic of Business Vocabulary and Business Rule) compliant business rules [2] extracted from business contract of services and store them in an ontological structure of... In this report we provide an overview of the open source Armadillo C++ linear algebra library (matrix maths). The library aims to have a good balance between speed and ease of use, and is useful if C++ is the language of choice (due to speed and/or ... Faulty device drivers are a major source of operating system failures. We argue that the underlying cause of many driver faults is the separation of two highly-related tasks: device verification and driver development. These two tasks have a lot in ... Dynamic voltage and frequency scaling (DVFS) is a commonly-used power-management technique where the clock frequency of a processor is decreased to allow a corresponding reduction in the supply voltage. This reduces power consumption, which can lead to ... With distributed functions taking over more and more safety-relevant functions in modern cars, their possible faulty behaviour has to be detected and dangerous effects to be prevented or mitigated. Additionally, information about the fault's root cause... |