Browsing 17 Psychology and Cognitive Sciences by Title

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  • Browsing 17 Psychology and Cognitive Sciences by Title

Browsing 17 Psychology and Cognitive Sciences by Title

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  • Kernel-based Subspace Analysis for Face Recognition 
    Jan Tony; Tsai Po-Hsiang; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In face recognition, if the extracted input data contains misleading information (uncertainty), the classifiers may produce degraded classification performance. In this paper, we employed kernel-based discriminant ...
  • Learning to Anticipate the Movements of Intermittently Occluded Objects 
    Johansson Birger; Balkenius Christian (LUCS (Lund University Cognitive Sciences), 2008)
    A model of event driven anticipatory learning is described and applied to a number of attention situations where one or several visual targets need to be tracked while being intermittently occluded. The model combines ...
  • Marginal Voices: Third Sector Organisations as Vehicles for Social Movement 
    Barraket, J. (Blackwell Publishing, 2007)
    The development of the third sector in Australia has involved the negotiation of varying forms of state and market regulatory mechanisms. In the course of these settlements, ground-up initiatives have often found that ...
  • Measuring consumer vanity: A cross-cultural validation 
    Wang Paul; Waller David (Lippincott Williams and Wilkins, 2005)
    Given the unmistakable trend toward a more integrated global economy and the tremendous impact of consumer vanity on demand for countless goods and services, there exists a need for more cross-cultural research on the ...
  • Measuring values using best-worst scaling: The LOV example 
    Lee J; Soutar Geoffrey; Louviere Jordan (Marcel Dekker, 2001)
    The paper discusses the way that values have been measured and suggests an alternative way to collect values data. A recently developed approach, termed Best Worst Scaling, developed by Louviere and his colleagues, ...
  • A Meta-Analysis of Judgment Achievement as Defined by the Lens Model Equation 
    Kaufmann E; Athanasou James (Verlag Hans Huber, 2009)
    This research determined the extent of judgment achievement (i.e., accuracy) across different decision-making domains (e. g., medicine, business, education, psychology). Judgment achievement was examined in terms of the ...
  • Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems 
    Zilberg Eugene; Burton David; Xu Zheng Ming; Karrar Murad; Lal Saroj (River Publishers, 2008)
    Application of piezofilm movement sensors integrated into the car seat, seat belt and steering wheel was proposed for development of a noninvasive and hybrid systems for detecting driver drowsiness. A car simulator study ...
  • Multi-robot simultaneous localization and mapping using D-SLAM framework 
    Huang Shoudong; Wang Zhan; Dissanayake Gamini (ARC Research Network on Sensor Networks, 2007)
    This paper presents an algorithm for the multi-robot simultaneous localization and mapping (SLAM) problem with the robot initial locations completely unknown. Each robot builds its own local map using the traditional ...
  • Mutual Information Based Data Association 
    Alempijevic Alen; Kodagoda Sarath; Dissanayake Gamini (IEEE, 2009)
    Relating information originating from disparate sensors without any attempt to model the environment or the behaviour of any particular object within it is a challenging task. Inspired by human perception, the focus of ...
  • Nature and Prevalence of Stalking Among New Zealand Mental Health Clinicians 
    Thom, K.; Dixon, R.; Hughes, F. A (ScienceDirect, Elsevier Ltd, 2003)
    Stalking involves recurrent and persistent unwanted communication or contact that generates fear for safety in the victims. This pilot study evaluated the nature and prevalence of stalking among New Zealand nurses and ...
  • Neural Network classifiers for automated video surveillance 
    Piccardi Massimo; Jan Tony; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In automated visual surveillance applications, detection of suspicious human behaviors is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human ...
  • Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological responses 
    Ghevondian Nejhdeh; Nguyen Hung; Jones Timothy (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    The most common and highly feared adverse effect of intensive insulin therapy in patients with diabetes is the increased risk of hypoglycemia. Symptoms of hypoglycemia arise from the activation of the autonomous central ...
  • Neurophysiology of therapeutic alliance 
    Stratford Trisha; Lal Saroj; Meara Alan (Gestalt Journal of Australia and New Zealand, 2009)
    Currently no studies exist on assessing neurophysiological correlates, especially brain activity, during therapeutic alliance (TA) between client and therapist. The aims of this study were to assess electroencephalography ...
  • A new neural network structure: node-to-node-link neural network 
    Ling Steve (Scientific Research Publishing, Inc., 2011)
    This paper presents a new neural network structure and namely node-to-node-link neural network (N-N-LNN) and it is trained by real-coded genetic algorithm (RCGA) with average-bound crossover and wavelet mutation [1]. The ...
  • A Novel Hybrid System for Skin Lesion Detection 
    Al-Jumaily Adel; Chiem Andy; Khushaba Rami N (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In this paper, a new intelligent method of classifying benign and malignant melanoma lesions is implemented. The system consists of four stages; image pre-processing, image segmentation, feature extraction, and image ...
  • Optimisation of HPLC gradient separations using artificial neural networks (ANNs): Application to benzodiazepines in post-mortem samples 
    Webb Rebecca; Doble Philip; Dawson Michael (Elsevier Science Bv, 2009)
    Artificial neural networks (ANNs) were used in conjunction with an experimental design to optimise a gradient HPLC separation of nine benzodiazepines. Using the best performing ANN, the optimum conditions predicted were ...
  • Optimisation Of The Separation Of Amino Acids By Capillary Electrophoresis Using Artificial Neural Networks 
    Van Gramberg Amanda; Beavis Alison; Blanes Lucas; Doble Philip (John Wiley & Sons, Inc, 2010)
    Many factors can affect the separation performance of a capillary electrophoresis (CE) electrolyte, such as the buffer, surfactant and organic modifier concentrations, pH, capillary temperature, and applied voltage (1). ...
  • Optimizing Blood Pressure Reduction: Predicting Success in the Home Environment 
    Hunyor, S. N; Bartrop, R.; Hart, M.; Henderson, R. J; Lal, S.; Craig, A. R (Lippincott Williams and Wilkins, 2003)
    Transferring skills to non-clinic contexts remains a challenge for clinical psychologists. Research is needed that investigates strategies of transferring clinic skills as well as factors that are associated with ...
  • Perceptions of organisational subculture and their significance for organisational commitment 
    Lok Peter; Westwood Robert; Crawford John (Blackwell Publishing, 2006)
    This paper investigates the relationship between perceptions of organisational culture, organisational subculture, leadership style, and commitment. The impact of culture and leadership style on commitment has been ...
  • Perceptions of the mind-cancer relationship among the public, cancer patients and oncologists 
    Lemon Jim; Kidman Antony; Edelman Sarah (Haworth Medical Press, 2004)
    The view that psychological factors pla a role in the onset and progression of cancern has been promoted widely int he popular media. The present study assessed the prevalence of this view. The respondents - 527 members ...