Now showing items 1-20 of 512

    • High performance city rendering in Vulkan 

      Zhang, Alex; Chen, Kan; Johan, Henry; Erdt, Marius (2018)
      City scale scenes often contain large amounts of geometry and texture that cannot altogether fit on GPU memory. Our ongoing work seek to minimise texture memory usage by streaming only view-relevant textures and to improve ...
    • Distribution-based semi-supervised learning for activity recognition 

      Qian, Hangwei; Pan, Sinno Jialin; Miao, Chunyan (2019)
      Supervised learning methods have been widely applied to activity recognition. The prevalent success of existing methods, however, has two crucial prerequisites: proper feature extraction and sufficient labeled training ...
    • MNPR : a framework for real-time expressive non-photorealistic rendering of 3D computer graphics 

      Montesdeoca, Santiago E.; Seah, Hock Soon; Semmo, Amir; Bénard, Pierre; Vergne, Romain; Thollot, Joëlle; Benvenuti, Davide (2018)
      We propose a framework for expressive non-photorealistic rendering of 3D computer graphics: MNPR. Our work focuses on enabling stylization pipelines with a wide range of control, thereby covering the interaction spectrum ...
    • 3D human motion recovery from a single video using dense spatio-temporal features with exemplar-based approach 

      Leong, Mei Chee; Lin, Feng; Lee, Yong Tsui (2019)
      This study focuses on 3D human motion recovery from a sequence of video frames by using the exemplar-based approach. Conventionally, human pose tracking requires two stages: 1) estimating the 3D pose for a single frame, ...
    • Collusion-resistant spatial phenomena crowdsourcing via mixture of Gaussian Processes regression 

      Xiang, Qikun; Nevat, Ido; Zhang, Pengfei; Zhang, Jie (2016)
      With the rapid development of mobile devices, spatial location-based crowdsourcing applications have attracted much attention. These applications also introduce new security risks due to untrustworthy data sources. In the ...
    • Ensemble classifier based approach for code-mixed cross-script question classification 

      Bhattacharjee, Debjyoti; Bhattacharya, Paheli (2016)
      With an increasing popularity of social-media, people post updates that aid other users in finding answers to their questions. Most of the user-generated data on social-media are in code-mixed or multi-script form, where ...
    • Autonomous agents in snake game via deep reinforcement learning 

      Wei, Zhepei; Wang, Di; Zhang, Ming; Tan, Ah-Hwee; Miao, Chunyan; Zhou, You (2018)
      Since DeepMind pioneered a deep reinforcement learning (DRL) model to play the Atari games, DRL has become a commonly adopted method to enable the agents to learn complex control policies in various video games. However, ...
    • ntuer at SemEval-2019 Task 3 : Emotion classification with word and sentence representations in RCNN 

      Zhong, Peixiang; Miao, Chunyan (2019)
      In this paper we present our model on the task of emotion detection in textual conversations in SemEval-2019. Our model extends the Recurrent Convolutional Neural Network (RCNN) by using external fine-tuned word representations ...
    • A socially-aware incentive mechanism for mobile crowdsensing service market 

      Nie, Jiangtian; Xiong, Zehui; Niyato, Dusit; Wang, Ping; Luo, Jun (2019)
      Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsensing platform if they can receive satisfactory ...
    • System fusion for high-performance voice conversion 

      Tian, Xiaohai; Wu, Zhizheng; Lee, Siu Wa; Nguyen, Quy Hy; Dong, Minghui; Chng, Eng Siong (2015)
      Recently, a number of voice conversion methods have been developed. These methods attempt to improve conversion performance by using diverse mapping techniques in various acoustic domains, e.g. high-resolution spectra and ...
    • EGRET : extortion graph exploration techniques in the Bitcoin network 

      Phetsouvanh, Silivanxay; Oggier, Frédérique; Datta, Anwitaman (2018)
      The Bitcoin network is a complex network that records anonymous financial transactions while encapsulating the relationships among its pseudonymous users. This paper proposes graph mining techniques to explore the relationships ...
    • Free-head appearance-based eye gaze estimation on mobile devices 

      Liu, Jigang; Lee, Francis Bu Sung; Rajan, Deepu (2019)
      Eye gaze tracking plays an important role in human-computer interaction applications. In recent years, many research have been performed to explore gaze estimation methods to handle free-head movement, most of which focused ...
    • BiVA : Bitcoin network visualization & analysis 

      Oggier, Frédérique; Phetsouvanh, Silivanxay; Datta, Anwitaman (2018)
      We showcase a graph mining tool, BiVA, for visualization and analysis of the Bitcoin network. It enables data exploration, visualization of subgraphs around nodes of interest, and integrates both standard and new algorithms, ...
    • Integration design of supply chain hybrid simulation 

      Tan, Wen Jun; Cai, Wentong; Zhang, Allan NengSheng (2017)
      A supply chain (SC) consists of multiple entities representing the retailers, manufacturers, distributors or suppliers. A firm can be one of the entities within the whole SC. To study the external effects on its internal ...
    • Surrogate assisted calibration framework for crowd model calibration 

      Yi, Wenchao; Zhong, Jinghui; Tan, Singkuang; Cai, Wentong; Hu, Nan (2017)
      Surrogate models are commonly used to approximate the multivariate input or output behavior of complex systems. In this paper, surrogate assisted calibration frameworks are proposed to calibrate the crowd model. To integrate ...
    • The NNi Vietnamese speech recognition system for mediaeval 2016 

      Wang, Lei; Ni, Chongjia; Leung, Cheung-Chi; You, Changhuai; Xie, Lei; Xu, Haihua; Xiao, Xiong; Nwe, Tin Lay; Chng, Eng Siong; Ma, Bin; Li, Haizhou (2016)
      This paper provides an overall description of the Vietnamese speech recognition system developed by the joint team for MediaEval 2016. The submitted system consisted of 3 subsystems, and adopted different deep neural ...
    • Entropy-based graph clustering - a simulated annealing approach 

      Oggier, Frédérique; Phetsouvanh, Silivanxay; Datta, Anwitaman (2018)
      We revisit a Renyi entropy based measure introduced originally for image clustering [1], and study its application to graph clustering. To effectuate Renyi entropy based graph clustering, we propose a simulated annealing ...
    • Entropic centrality for non-atomic flow networks 

      Oggier, Frédérique; Phetsouvanh, Silivanxay; Datta, Anwitaman (2018)
      Given a graph, the notion of entropic centrality was introduced by Tutzauer to characterize vertices which are important in the sense that there is a high uncertainty about the destination of an atomic flow starting at ...
    • Revisiting public reputation calculation in a personalized trust model 

      Cohen, Robin; Wang, Peng Fei; Hu, Zehong (2018)
      In this paper, we present a strategy for agents to predict the trustworthiness of other agents based on reports from peers, when the public reputation reflected by majority opinion may be suspect. We ground our discussion ...
    • A comprehensive exploration to the machine learning techniques for diabetes identification 

      Wei, Sidong; Zhao, Xuejiao; Miao, Chunyan (2018)
      Diabetes mellitus, known as diabetes, is a group of metabolic disorders and has affected hundreds of millions of people. The detection of diabetes is of great importance, concerning its severe complications. There have ...