Uncontrolled face recognition by individual stable neural network

There usually exist diverse variations in face images taken under uncontrolled conditions. Most previous work on face recognition focuses on particular variations and usually assume the absence of others. Such work is called controlled face recognition. Instead of the ‘divide and conquer’ strategy adopted by controlled face recognition, this paper presents one of the first attempts directly aiming at uncontrolled face recognition. The solution is based on Individual Stable Neural Network (ISNN) proposed in this paper. ISNN can map a face image into the so-called Individual Stable Space (ISS), the feature space that only expresses personal characteristics, which is the only useful information for recognition. There are no restrictions for the face images fed into ISNN. Moreover, unlike many other robust face recognition methods, ISNN does not require any extra information (such as view angle) other than the personal identities during training. These advantages of ISNN make it a very practical approach for uncontrolled face recognition. In the experiments, ISNN is tested on two large face databases with vast variations and achieves the best performance compared with several popular face recognition techniques.

A model and framework for online security benchmarking

The variety of threats and vulnerabilities within the online business environment are dynamic and thus constantly changing in how they impinge upon online functionality, compromise organizational or customer information, contravene security implementations and thereby undermine online customer confidence. To nullify such threats, online security management must become proactive, by reviewing and continuously improving online security to strengthen the enterpriseis online security measures and policies, as modelled. The benchmarking process utilises a proposed benchmarking framework to guide both the development and application of security benchmarks created in the first instance, from recognized information technology (IT) and information security standards (ISS) and then their application to the online security measures and policies utilized within online business. Furthermore, the benchmarking framework incorporates a continuous improvement review process to address the relevance of benchmark development over time and the changes in threat focus.

Individual stable space : an approach to face recognition under uncontrolled conditions

There usually exist many kinds of variations in face images taken under uncontrolled conditions, such as changes of pose, illumination, expression, etc. Most previous works on face recognition (FR) focus on particular variations and usually assume the absence of others. Instead of such a ldquodivide and conquerrdquo strategy, this paper attempts to directly address face recognition under uncontrolled conditions. The key is the individual stable space (ISS), which only expresses personal characteristics. A neural network named ISNN is proposed to map a raw face image into the ISS. After that, three ISS-based algorithms are designed for FR under uncontrolled conditions. There are no restrictions for the images fed into these algorithms. Moreover, unlike many other FR techniques, they do not require any extra training information, such as the view angle. These advantages make them practical to implement under uncontrolled conditions. The proposed algorithms are tested on three large face databases with vast variations and achieve superior performance compared with other 12 existing FR techniques.

Student Dis/satisfaction and Academic Dis/enchantment with Edu-capitalism

Over three decades there has been a shift from ideologies of idealism and educationalism towards instrumentalism in higher education due to the global circulation of neoliberal ideologies. Facilitated by digital technologies and encouraged by international ranking systems, there is a paradoxical trend towards homogenisation rather than heterogeneity in terms of what counts as valued knowledge, producing tensions in national policies, institutional responses and academic work in Australia as elsewhere. The paper identifies the implications of trends driving universities towards entrepreneurialism, hyper-instrumentalism, continual rebranding in their search for distinctiveness in global markets, restructuring towards specialisation, focusing on immediate use-value of research, vocationalising teaching, demand driven curriculum that makes students happy, and the disaggregation of curriculum underpinning new multimodal forms of online learning / management technologies.

The ABC, the Australian Children’s Television Foundation, and the emergence of digital children’s television in Australia

 This paper analyses the campaign to establish terrestrial digital children’s public service broadcasting in Australia. It finds that the development of the Australian Broadcasting Corporation’s digital children’s channel (ABC3), an initiative initially embraced somewhat opportunistically, enabled an expansion strategy for the public service broadcaster that ultimately helped determine the shape of its current digital channel portfolio. Contrasting the collective and divergent interpretations of future audience behaviours and needs developed by the Australian Children’s Television Foundation (ACTF) and the ABC, it argues that both organisations developed strategies and made policy decisions that were influential in conditioning the current digital television ecology.

Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part II: proofs of results

In this companion article to "Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content" [Orellana, Rotnitzky and Robins (2010), IJB, Vol. 6, Iss. 2, Art. 7] we present (i) proofs of the claims in that paper, (ii) a proposal for the computation of a confidence set for the optimal index when this lies in a finite set, and (iii) an example to aid the interpretation of the positivity assumption.

Maximising baby boomer engagement in volunteering: a case study from enquiry to implementation

A community aged care service, with the assistance of other stakeholders, initiated a qualitative practice-oriented research project to interview baby boomers about their plans for retirement and their interests in volunteering. The project looks to reshape baby boomer volunteering for our aged care services. Our findings highlight that baby boomers are looking for meaningful, diverse and flexible volunteer opportunities. This will require organisations to adapt their volunteer programs and develop the required infrastructure (improved advertising, assessment and volunteer support approaches) to cater for the volunteering needs of baby boomers. This paper highlights the process, findings, initial efforts and future challenges to engaging baby boomers in volunteer work. It is recognised that further research is required in what is not a homogenous group.