Browsing Conference Papers by Title

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

Browsing Conference Papers by Title

Sort by: Order: Results:

  • Improved Head Direction Command Classification Using An Optimized Bayesian Neural Network 
    Nguyen Thanh Son; Nguyen Hung; Taylor Philip; Middleton James (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Assistive technologies have recently emerged to improve the quality of life of severely disabled people by enhancing their independence in daily activities. Since many of those individuals have limited or non-existing ...
  • An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction 
    Yeung Chun; Leung Frank; Chan Kit; Ling Steve (IEEE, 2009)
    To improve cancer diagnosis and drug development, the classification of tumor types based on genomic information is important. As DNA microarray studies produce a large amount of data, expression data are highly redundant ...
  • It's a Child's Game: Investigating Cognitive Development with Playing Robots 
    Johansson Birger; Balkenius Christian (IEEE, 2005)
    To study and simulate cognitive development, it is useful to find a natural domain where many cognitive functions are needed and, but where the complexity of the environment and task is reasonable. We suggest that childrens ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • PIPPON: A physical infrastructure peer-to-peer overlay networks 
    Le Thi Hong Hanh; Hoang Doan; Simmonds Andrew (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    The scalability and efficiency of P2P systems are determined largely by two factors: the degree of matching between the P2P overlay and its underlying physical network, and the efficiency ofthe P2P application routing ...
  • A Preliminary Investigation on Computer Vision for Telemedicine Systems using OpenCV 
    Chaczko Zenon; Yeoh Lareine; Mahdevan Venkatesh (IEEE Computer Society, 2010)
    OpenCV is typically, an open source vision library suitable for computer vision programs. In this paper, we present some of our preliminary investigation experiences of developing Computer Vision programs using OpenCV for ...
  • The psychological contract: Investigation of generational and career stage differences 
    Hess Narelle; Jepsen Denise (Academy of Management, 2008)
    Psychological contract theorists have posited that individual differences in employees¿ work attitudes and behaviours influence how the psychological contract is perceived. However, research investigating the psychological ...
  • Reasoning with Cardinal Directions: An Efficient Algorithm 
    Zhang Xiaotong; Liu Weiming; Li Sanjiang; Ying Mingsheng (AAAI Press, 2008)
    Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model, called Cardinal Direction Calculus (CDC), for representing direction relations ...
  • Reflections on smoke breaks: A case for positive addiction 
    Ievleva Lydia; Murphy Susan (Australian Psychological Society Ltd, 2006)
    Consider this: Everything about the smoking habit is excellent for health and well-being. Everything, that is, except the cigarette! Taking hourly breaks, to stretch one's legs and eyes, spend time in nature, with ...
  • The Relationship Between Negative Mood States and Fatigue 
    Wijesuriya Nirupama; Tran Yvonne; Craig Ashley (Australian Psychological Society Ltd, 2007)
    Depression is a prevalent disorder estimated to affect 121 million people at a given time. Those who have depression suffer predominantly from negative mood states and are believed to be at risk of other debilitative ...
  • Relaxation applied to recovery from training: implications for preventing overtraining 
    Ievleva Lydia (Australian Psychological Society Ltd, 2006)
    Prevention of overtraining has typically focused on monitoring and adjusting training loads, while the recovery period between training sessions remains largely overlooked, except in relation to diet and sleep. ...
  • The reliability of sensing fatigue from neurophysiology 
    Lal Saroj; Bekiaris Evangelos (UTS, 2007)
    To date no-study has tested the reproducibility of electroencephalography (EEG) changes that occur during driver fatigue. For the EEG changes to be useful in the development of a fatigue sensing and countermeasure device ...
  • Robust short term prediction using combination of linear regression and modified probabilistic neural network model 
    Jan Tony (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In many business applications, accurate short term prediction is vital for survival. Many different techniques have been applied to model business data in order to produce accurate prediction. Artificial neural network ...
  • The role of structure in the failure of organisations to learn and transform 
    Fenech Bryan; Dovey Kenneth (University of Trento, Italy, 2005)