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  • Alsukker, Akram; Khushaba, Rami; Al-Ani, Ahmed (IEEE, 2010)
    Traditional k-NN classifier poses many limitations including that it does not take into account each class distribution, importance of each feature, contribution ofeach neighbor, and the number ofinstances for each class. ...
  • Lin, Cheng-Chung; Sandrasegaran, Kumbesan; Mohd Ramli, Huda Adibah; Basukala, Riyaj; Patachaianand, Rachod; Chen, Lu; Afrin, Sohana (IEEE, 2011)
    Handover in LTE is purely hard handover. The use of break-before-connect handovers reduces the complexity of the LTE network architecture. However, the hard handover may result in data being lost. A Handover algorithm is ...
  • Huang, Tze-Haw; Song, Xingxing; Huang, Mao Lin (IEEE Press, 2011)
    How to optimized OPE Group Management is the most frequently asked question when integrating ope with a SeADA system. Group management assumes that the ope client has the information to partition ope items into homogeneous ...
  • Zhang, Shichao; Qin, Yongsong; Zhu, Xiaofeng; Zhang, Jilian; Zhang, Chengqi (Springer, 2006)
    To complete missing values, a solution is to use attribute correlations within data. However, it is difficult to identify such relations within data containing missing values. Accordingly, we develop a kernel-based missing ...
  • San, Phyo Phyo; Ling, Steve; Nguyen, Hung (IEEE, 2012)
    An hybrid particle swarm optimization based optimized variable translation wavelet neural network (VTWNN) is proposed for detection of hypoglycemic episodes in patients with Type 1 diabetes mellitus (T1DM). Due to excellent ...
  • Niazi, Mahmood; Wilson, David; Zowghi, Didar (Springer-Verlag, 2007)
    This paper reports on the implementation of the SPI readiness model in three large-scale case studies. We have found that organisations with higher CMMA leavelas are more ready for SPI initiaitves than organisations with ...
  • Danylak, Roman; Edmonds, Ernest (IOS Press, 2008)
    Human bodily gestures are now clearly present as a factor in human compuler interface design, used in commercially available game interfaces such as Sony's Eye Toy. However, many challenges still exist for this as yet ...
  • Serour, M. K; Henderson-Sellers, B.; Hughes, J. M; Winder, D.; Chow, L. (Springer-Verlag, 2002)
    The use of object technology (OT) has been highly successful for many software development companies, yet there are still a large number of organizations who have not yet adopted OT. For those companies currently adopting ...
  • Liu, Bo; Xiao, Yan Shan; Cao, Longbing; Yu, Philip (ACM, 2010)
    Feature extraction is an effective step in data mining and machine learning. While many feature extraction methods have been proposed for clustering, classification and regression, very limited work has been done on ...
  • Tao, Dacheng; Tang, Xiaoou (IEEE Computer Soc, 2004)
    Relevance feedback (RF) is an important tool to improve the performance of content-based image retrieval system. Support vector machine (SVM based RF is popular because it can generalize better than most other classifiers. ...
  • Khushaba, Rami; Elliott, Rosalind; Alsukker, Akram; Al-Ani, Ahmed; Mckinley, Sharon (IEEE, 2010)
    Sleep-stage scoring plays an important role in analyzing the sleep patterns of people. Studies have revealed that Intensive Care Unit (ICU) patients do not usually get enough quality sleep, and hence, analyzing their sleep ...
  • Wei, Lei; Guan, Naiyang; Zhang, Xiang; Luo, Zhigang; Tao, Dacheng (IEEE, 2013)
    Nonnegative matrix factorization (NMF) decomposes a nonnegative dataset X into two low-rank nonnegative factor matrices, i.e., W and H, by minimizing either Kullback-Leibler (KL) divergence or Euclidean distance between X ...
  • Amitani, Shigeki; Bilda, Zafer; Hills, Damian; Edmonds, Ernest (IEEE Computer Society, 2009)
    This paper presents the latest results from our project a??Our Contenta? which aims to develop systems that generate meaningful sequences of information out of existing information. The Our Content engine is rather like ...
  • Luo, Chao; Zhao, Yanchang; Cao, Longbing; Ou, Yuming; Liu, Li (Springer, 2008)
    In stock market, the key surveillance function is identifying market anomalies, such as insider trading and market manipulation, to provide a fair and efficient trading platform [2,6]. Insider trading refers to the trades ...
  • Underwood, Jim (Academic Publishing Limited, 2009)
    NA
  • Gluga, Richard; Kay, Judy; Lister, Raymond; Kleitman, Sabina; Lever, Tim (Association of Computing Machinery, 2012)
    Abstract: This paper describes a web-based interactive tutorial that enables computer science tutors and lecturers to practice applying the Bloom Taxonomy in classifying programming exam questions. The structure, design ...
  • Rainer, Austen; Hall, Tracy; Baddoo, Nathan; Wilson, David (Zeus Press/UKAIS, 2001)
  • Sidhu, Amandeep; Dillon, Tharam; Chang, Elizabeth; Sidhu, Baldev (Springer, 2005)
    In this paper we propose an approach to integrate protein information from various data sources by defining a Protein Ontology. Protein Ontology provides the technical and scientific infrastructure and knowledge to allow ...
  • Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong (IEEE, 2011)
    Two main components of Procrustes Shape Analysis (PSA) are adopted and adapted specifically to address gait recognition under small viewing angle change: 1) Procrustes Mean Shape (PMS) for gait signature description; 2) ...
  • Jia, W; Deng, Cheng; Tao, Dacheng; Zhang, D (IEEE, 2008)
    In this paper, we propose a novel approach for palmprint identification, which contains two interesting components. Firstly, we propose the directional representation for appearance based approaches. The new representation ...