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Browsing Conference Papers by Title

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  • Loke, L; Larssen, AT; Robertson, TJ (ACM, 2005-01)
  • Zhou, T; Tao, D (ACM, 2012-01)
    In multimedia retrieval, multi-label annotation for image, text and video is challenging and attracts rapidly growing interests in past decades. The main crux of multi-label annotation lies on 1) how to reduce the model ...
  • Xiao, X; Xu, C; Wang, J; Xu, M (ACM NY USA, 2011-01)
    Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models ...
  • Patel, M; Ek, CH; Kyriazis, N; Argyros, A; Miro, JV; Kragic, D (2013)
    In this paper we use a Hierarchical Hidden Markov Model (HHMM) to represent and learn complex activities/task performed by humans/robots in everyday life. Action primitives are used as a grammar to represent complex human ...
  • Xu, C; Tao, D; Li, Y (ACM, 2013-01)
    In image classification, the goal is to decide whether an image belongs to a certain category or not. Multiple features are usually employed to comprehend the contents of images substantially for the improvement of ...
  • Nguyen, Q; Huang, M (IEEE Computer Society, 2009-01)
    This paper proposes a new interactive visualization for analyzing large hierarchical structures and networks. The technique combines of different graph layout methods with a layout refinement process, an interactive ...
  • Cheema, MA; Lin, X; Zhang, Y; Wang, W; Zhang, W (ACM, 2009-01)
    In this paper, we study the problem of continuous monitoring of reverse k nearest neighbor queries. Existing continuous reverse nearest neighbor monitoring techniques are sensitive towards objects and queries movement. For ...
  • Yin, H; Sun, Y; Cui, B; Hu, Z; Chen, L (ACM, 2013-01)
    Newly emerging location-based and event-based social network services provide us with a new platform to understand users preferences based on their activity history. A user can only visit a limited number of venues/events ...
  • Maher, M; Simoff, SJ; Clark, S (N/A, 2001-01)
  • Bian, W; Tao, D (AAAI Press/International Joint Conferences on Artificial Intelligence, 2011-01)
    In this paper, we study the problem of learning a metric and propose a loss function based metric learning framework, in which the metric is estimated by minimizing an empirical risk over a training set. With mild conditions ...
  • Li, J; Bian, W; Tao, D; Zhang, C (Springer-Verlag Berlin / Heidelberg, 2011-01)
    The capability of inferring colours from the texture (grayscale contents) of an image is useful in many application areas, when the imaging device/environment is limited. Traditional colour assignment involves intensive ...
  • Berglund, A; Box, I; Eckerdal, A; Lister, RF; Pears, A (Australian Computer Society, 2008-01)
    Abstract: To accommodate an increasing interest in phenomenography among the computing education research community, the authors of this paper have organised two workshops, or intensive courses, in phenomenography, intended ...
  • Mu, Y; Xu, M; Yan, S (IEEE Computer Society, 2010-01)
    In this paper we propose Softboost, a novel Boosting al-gorithm which combines the merits of transductive and inductive learning approaches to attack the problem of learning from very few labeled training examples. In the ...
  • O'Callaghan, ST; Singh, SP; Alempijevic, A; Ramos, FT (IEEE, 2011-01)
    AbstractObserving human motion patterns is informative for social robots that share the environment with people. This paper presents a methodology to allow a robot to navigate in a complex environment by observing pedestrian ...
  • Peng, Y; Jin, J; Luo, S; Xu, M (ACM, 2010-01)
    Video becomes a crucial information resource in last decades, because of the rapid development of camera as well as the internet explosion. High-quality video sequences are always desired in lots of fields. Since the ...
  • Peng, H; Deng, C; An, L; Gao, X; Tao, D (IEEE, 2013-01)
    Content-based video copy detection (CBVCD) has attracted increasing attention in recent years. However, video content description and search efficiency are still two challenges in this domain. To cope with these two problems, ...
  • Fu, B; Wang, Z; Pan, R; Xu, G; Dolog, P (Springer Berlin / Heidelberg, 2012-01)
    There always exists some kind of label dependency in multi- label data. Learning and utilizing those dependencies could improve the learning performance further. Therefore, an approach for multi-label learning is proposed ...
  • Xu, K; Chen, X; Liu, W; Williams, M (ACM digital library, 2006-01)
    Achieving an effective gait locus for legged robots is a challenging task. It is often done manually in a laborious way due to the lack of research in automatic gait locus planning. Bearing this problem in mind, this article ...
  • Zhao, Y; Bohlscheid, H; Wu, S; Cao, L (IEEE Computer Society Conference Publishing Services (CPS), 2010-01)
    This paper presents a real-world application of data mining techniques to optimise debt recovery in social security. The traditional method of contacting a customer for the purpose of putting in place a debt recovery ...