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  • Face and Body gesture recognition for a vision-based multimodal analyser 
    Gunes Hatice; Piccardi Massimo; Jan Tony (Australian Computer Society, 2004)
    For the computer to interact intelligently with human users, computers should be able to recognize emotions, by analyzing the human’s affective state, physiology and behavior. In this paper, we present a survey of ...
  • Facial Expression Recognition on Hexagonal Structure Using LBP-Based Histogram Variances 
    Wang Lin; He Xiangjian; Du Ruo; Jia Wenjing; Wu Qiang; Yeh Wei-Chang (Springer, 2011)
    In our earlier work, we have proposed an HVF (Histogram Variance Face) approach and proved its effectiveness for facial expression recognition. In this paper, we extend the HVF approach and present a novel approach for ...
  • Facial Expression Recognition on Hexagonal Structure Using LBP-Based Histogram Variances 
    Wang Lin; He Xiangjian; Du Ruo; Jia Wenjing; Wu Qiang; Yeh Wei-Chang (Springer Berlin Heildelberg New York, 2011)
    In our earlier work, we have proposed an HVF (Histogram Variance Face) approach and proved its effectiveness for facial expression recognition. In this paper, we extend the HVF approach and present a novel approach for ...
  • Facilitating collaboration among students in e-learning by software agents 
    Hawryszkiewycz Igor; Pan Weidong; Xue Dongbai (IADIS Press, 2006)
    Computer supported 'collaborative learning (CSCl) is one promising technical means to facilitate e-learning over the Internet. However, most current CSCL systems do not actively provide support for collaborative learning ...
  • Facilitating Collaboration for the Construction Industry: Designing an Appropriate Interface 
    Er Michael; Kay Robert (Idea Group Publishing, 2004)
    Large construction projects involve multiple participants who need to collaborate in order for the project to be successful. To date. the collaborative process on construction sites has failed to take advantage of ...
  • Factors of Risk Variance in Decentralized Communications 
    Chang Elizabeth; Soh Ben; Hussain Omar; Hussain Farookh; Dillon Tharam (Computer Associates, 2005)
    Decentralized transactions are increasingly becoming popular. These transactions resemble the early forms of the internet and in many ways are regarded as the next generation of the internet. The result will be that this ...
  • A fast data processing procedure for support vector regression 
    Lu Jie; Zhang Guangquan; Hao Zhifeng; Wen W; Yang Xiao (Springer-Verlag, 2006)
    A fast data preprocessing procedure (FDPP) for support vector regression (SYR) is proposed in this paper. In the presented method, the dataset is firstly divided into several subsets and then K-means clustering is implemented ...
  • Fast Indoor Scene Classification Using 3D Point Clouds 
    Shi Lei; Kodagoda Sarath; Ranasinghe Ravindra (The ACRA 2011 Organising Committee, 2011)
    A representation of space that includes both geometric and semantic information enables a robot to perform high-level tasks in complex environments. Identifying and categorizing environments based on onboard sensors are ...
  • Fast simulation of animal locomotion: lamprey swimming 
    Beauregard M; Kennedy Paul; Debenham John (Springer-Verlag, 2006)
    Biologically realistic computer simulation of vertebrate locomotion is an interesting and challenging problem with applications in computer graphics and robotics. One current approach simulates a relatively simple ...
  • Fault Diagnosis of Transformer using Association Rule Mining and Knowledge Base 
    Zhang Tiefeng; Zhang Guangquan; Lu Jie; Ding Qian (IEEE, 2010)
    Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an ...
  • Fault modeling for non-linear systems using ANFIS 
    Khosravi Anas; Lu Jie (Prokom Softwares, 2006)
    In this paper we develop a new method to model occurred faults in different parts of nonlinear systems. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) we build a model for faultless plant which is used in the ...
  • Fault Tolerance of Embryonic Algorithms in Mobile Networks 
    Lowe David; Mujkanovic Amir; Miorandi Daniel; Yamamoto Lidia (Springer-Verlag Berlin Heidelberg, 2010)
    In previous work the authors have described an approach for building distributed selfâ¿¿healing systems â¿¿ referred to as EmbryoWare â¿¿ that, in analogy to Embryonics in hardware, is inspired by cellular development and ...
  • Feasibility Trial of a Novel Mobile Cardiac Rehabilitation Application 
    Gay Valerie; Leijdekkers Peter; Barin Edwards (IEEE Communications Society, 2010)
    A trial with a cardiac rehabilitation centre is in progress where we test a novel cardiac rehab application using a standard mobile phone and wireless sensors. The goal is to obtain insight how remote monitoring compares ...
  • A Feature Analysis Framework for Evaluating Multi-Agent System Development Methodologies 
    Tran Quynh-Nhu Numi; Low Graham; Williams Mary-Anne (Springer-Verlag, 2003)
    This paper proposes a comprehensive and multi-dimensional feature analysis framework for evaluating and comparing methodologies for developing multi-agent systems (MAS). Developed from a synthesis of various existing evaluation ...
  • Feature Enhancement Using Gradient Salience on Thermal Image 
    Li Zelin; Zhang Jian; Wu Qiang; Geers Glen (IEEE Computer Society, 2010)
    Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for ...
  • Feature Extraction For FMRI-based Human Brain Activity Recognition 
    Bian Wei; Li Jing; Tao Dacheng (Springer-Verlag Berlin, 2010)
    Mitchell et al. [9] demonstrated that support vector machines (SVM) are effective to classify the cognitive state of a human subject based on fRMI images observed over a single time interval. However, the direct use of ...
  • Feature Selection of Imbalanced Gene Expression Microarray Data 
    Anaissi Ali Hassan; Kennedy Paul; Goyal Madhu (IEEE Computer Society, 2011)
    Gene expression data is a very complex data set characterised by abundant numbers of features but with a low number of observations. However, only a small number of these features are relevant to an outcome of interest. ...
  • Feature selection using hierarchical feature clustering 
    Liu Huawei; Wu Xindong; Zhang Shichao (ACM, 2011)
    One of the challenges in data mining is the dimensionality of data, which is often very high and prevalent in many domains, such as text categorization and bio-informatics. The high-dimensionality of data may bring many ...
  • Feature Selection with Biased Sample Distributions 
    Kamal Abu; Zhu Xingquan; Pandya Abhijit; Hsu Sam (IEEE Computer Society, 2009)
    Feature selection concerns the problem of selecting a number of important features (w.r.t. the class labels) in order to build accurate prediction models. Traditional feature selection methods, however, fail to take the ...
  • The feel dimension of technology interaction:exploring tangibles through movement and touch 
    Robertson Toni; Larssen Astrid Twenebowa; Edwards Jennifer (Association for Computing Machinery, 2007)
    This paper presents concepts to extend our understandings of bodily aspects of technology interactions. The aim of the paper is to offer a way of looking at the role our haptic and kinaesthetic senses play in experiencing ...