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  • Bayesian Tensor Approach for 3-D Face Modeling 
    Tao Dacheng; Song Mingli; Li Xuelong; Shen Jialie; Sun Jimeng; Wu Xindong; Faloutsos Christos; Maybank Stephen (IEEE-Inst Electrical Electronics Engineers Inc, 2008)
    Effectively modeling a collection of three-dimensional (3-D) faces is an important task in various applications, especially facial expression-driven ones, e.g., expression generation, retargeting, and synthesis. These 3-D ...
  • Behavior Informatics: An Informatics Perspective for Behavior Studies 
    Cao Longbing; Yu Philip (IEEE Computer Society, 2009)
    Behavior is increasingly recognized as a key entity in business intelligence and problem-solving. Even though behavior analysis has been extensively investigated in social sciences and behavior sciences, in which qualitative ...
  • Belief-Driven Manipulator Visual Servoing for Less Controlled Environments 
    Webb Stephen; Furukawa Tomonari (VSP, 2008)
    This paper presents the architecture of a feedforward manipulator control strategy based on a belief function that may be appropriate for less controlled environments. In this architecture, the belief about the environmental ...
  • Belief revision and organisational knowledge dynamics 
    Tselekidis G; Peppas Pavlos; Williams Mary-Anne (Routledge, 2001)
  • Beyond eureka moments: supporting the invisible work of creativity and innovation 
    Anderson Theresa (University of Sheffield, 2011)
    Introduction. This paper is about the challenges of working creatively and reflectively in the information-intensive environments characteristic of our digital age. Method. The paper builds upon earlier work about uncertainty ...
  • Beyond information seeking towards a general model of information behaviour. 
    Godbold, N. (Trans Tech Publications Ltd, 2005)
  • Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval 
    Bian Wei; Tao Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    With many potential multimedia applications, content-based image retrieval (CBIR) has recently gained more attention for image management and web search. A wide variety of relevance feedback (RF) algorithms have been ...
  • Bi-modal emotion recognition from expressive face and body gestures 
    Gunes Hatice; Piccardi Massimo (Elsevier, 2001)
  • A bi-modal face recognition framework integrating facial expression with facial appearance 
    Tsai Po-Hsiang; Cao Longbing; Hintz Thomas; Jan Tony (Elsevier Science Bv, 2009)
    Among many biometric characteristics, the facial biometric is considered to be the least intrusive technology that can be deployed in the real-world visual surveillance environment. However, in facial biometric, little ...
  • Binary Sparse Nonnegative Matrix Factorization 
    Yuan Yuan; Li Xuelong; Pang Yanwei; Lu Xin; Tao Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are much faster than those ...
  • Binary two-dimensional PCA 
    Pang Yanwei; Tao Dacheng; Yuan Yuan; Li Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2008)
    Fast training and testing procedures are crucial in biometrics recognition research. Conventional algorithms, e.g., principal component, analysis (PCA), fail to efficiently work on large-scale and high-resolution image ...
  • Biologically inspired feature manifold for gait recognition 
    Mu Yang; Tao Dacheng (Elsevier Science Bv, 2010)
    Using biometric resources to recognize a person has been a recent concentration on computer vision. Previously, biometric research has forced on utilizing iris, finger print, palm print, and shoe print to authenticate and ...
  • Biologically Inspired Feature Manifold for Scene Classification 
    Song Dongjin; Tao Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Biologically inspired feature (BIF) and its variations have been demonstrated to be effective and efficient for scene classification. It is unreasonable to measure the dissimilarity between two BIFs based on their Euclidean ...
  • Biologically Inspired Features for Scene Classification in Video Surveillance 
    Huang Kaiqi; Tao Dacheng; Yuan Yuan; Li Xuelong; Tan Tieniu (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly ...
  • A Biologically Inspired Multi-Agent Framework For Autonomic Service Management 
    Chiang Frank; Braun Robin; Hughes John (Troubador, 2006)
    This paper describes the design of a scalable bio-mimetic framework that addresses several key issues of autonomous agents in the functional management domain of complex Ubiquitous Service-Oriented Networks.We propose an ...
  • Biologically Inspired Tensor Features 
    Mu Yang; Tao Dacheng; Li Xuelong; Murtagh Fionn (Springer, 2009)
    According to the research results reported in the past decades, it is well acknowledged that face recognition is not a trivial task. With the development of electronic devices, we are gradually revealing the secret of ...
  • Bisimulation Indexes And Their Applications 
    Ying Mingsheng (Elsevier Science Bv, 2002)
    Bisimulation expresses the equivalence of processes whose external actions are identical. Sometimes we may meet two processes which are not exactly bisimilar but more or less bisimilar in the sense that whenever a process ...
  • Bizseeker - A Hybrid Semantic Recommendation System For Personalised Government-To-Business E-Services 
    Lu Jie; Shambour Qusai; Xu Richard; Lin Qing; Zhang Guangquan (Emerald Group Publishing Limited, 2010)
    Purpose - The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e-services, in particular, business partner recommendation e-services for ...
  • Bregman Divergence-Based Regularization for Transfer Subspace Learning 
    Si Si; Tao Dacheng; Geng Bo (IEEE Computer Soc, 2010)
    The regularization principals [31] lead approximation schemes to deal with various learning problems, e. g., the regularization of the norm in a reproducing kernel Hilbert space for the ill-posed problem. In this paper, ...
  • Bridging Local And Global Data Cleansing: Identifying Class Noise In Large, Distributed Data Datasets 
    Zhu Xingquan; Wu Xindong; Chen Qijun (Springer, 2006)
    To cleanse mislabeled examples from a training dataset for efficient and effective induction, most existing approaches adopt a major set oriented scheme: the training dataset is separated into two parts (a major set and a ...