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 Paul Kwan

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Average citations per article1.21
Citation Count34
Publication count28
Publication years2002-2017
Available for download6
Average downloads per article73.33
Downloads (cumulative)440
Downloads (12 Months)141
Downloads (6 Weeks)28
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28 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2017 MultiEdTech '17: Proceedings of the 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 18,   Downloads (Overall): 18

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The amount of MOOC video materials has grown exponentially in recent years. Therefore, their storage and analysis need to be made as fully automated as possible in order to maintain their management quality. In this work, we present a method for automatic topic classification of MOOC videos using speech transcripts ...
Keywords: transcript features, convolutional neural networks (cnn), mooc video classification

2 published by ACM
July 2017 Journal on Computing and Cultural Heritage (JOCCH) - Special Issue on Digital Infrastructure for Cultural Heritage, Part 2: Volume 10 Issue 3, August 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 16,   Downloads (12 Months): 79,   Downloads (Overall): 79

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Annotations provide a valuable perspective on the semantic information present in digital heritage collections, and in recent years they've been employed in a number of innovative, user-centric techniques that can personalise a user's experience of heritage materials, such as by actively adapting exhibits as a user reveals their interests, or ...
Keywords: Collaborative tagging, digital heritage, tag co-occurrence

3 published by ACM
June 2016 DIS '16 Companion: Proceedings of the 2016 ACM Conference Companion Publication on Designing Interactive Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 39,   Downloads (Overall): 74

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Most papers on introducing children to computing assume the children will interact directly with the technology or task. In this paper, we reflect on a case of designing for indirect interaction -- where it is not the children's hands but a facilitator's on the device. The context is a computing ...
Keywords: children-computer interaction, indirect interaction

4
June 2016 Pattern Recognition Letters: Volume 76 Issue C, June 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

An empirical study to compare contours and skeletons is conducted.Different image datasets are prepared and different image variations are generated.Results show the superiority of contours over skeletons.A noteworthy finding is the improvements of skeletons in the presence of noise. Contours and skeletons are well-known shape representations that embody visual information ...
Keywords: Comparative study, Contour detection, Binary image, Skeletonization, Statistical shape features

5
January 2015 International Journal of Learning Technology: Volume 10 Issue 4, January 2015
Publisher: Inderscience Publishers
Bibliometrics:
Citation Count: 0

In recent years, the use of student response systems SRS, also known as clickers in the classroom setting has increased considerably, and researchers have developed a growing interest in their effect on learning and student engagement. This review analyses trends in SRS research by providing a brief history of SRS ...

6
January 2015 Knowledge-Based Systems: Volume 73 Issue 1, January 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

In this paper, the use of relevance feedback with fingerprint identification systems is investigated. Two key limitations in current systems are addressed. Firstly, performance in current systems is highly dependent upon the fingerprint features selected for identification and the accuracy of the underlying pattern matching algorithm. Secondly, there is no ...
Keywords: decision support, adaptive systems, fingerprint identification, relevance feedback, knowledge-based systems

7
August 2014 FICLOUD '14: Proceedings of the 2014 International Conference on Future Internet of Things and Cloud
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Because of the interest in mining learning from text and even images shared in the posts, comments, and chats of online e-learning networks, it is necessary to identify whether the text contextually reflects the learner's interests. Thus, based on the posts and comment analysis, it is possible to automatically recommend ...
Keywords: social networks, data mining, e-learning, recommender systems, TEL, personalisation

8
August 2014 ICPR '14: Proceedings of the 2014 22nd International Conference on Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

We report our ongoing research on an application-independent and segmentation-free approach for spotting queries in document images. Built on our earlier work reported in [1][2], this paper introduces an image processing approach that finds occurrences of a query, which is a multi-part object, in a document image, through 5 steps: ...

9
January 2014 Applied Computational Intelligence and Soft Computing: Volume 2014, January 2014
Publisher: Hindawi Limited
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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This paper proposes a separation method, based on the model of Generalized Reference Curve Measurement and the algorithm of Particle Swarm Optimization (GRCM-PSO), for the High Performance Liquid Chromatography with Diode Array Detection (HPLC-DAD) data set. Firstly, initial parameters are generated to construct reference curves for the chromatogram peaks of ...

10 published by ACM
November 2012 IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 71

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Segmenting suspicious regions in mammographic images that may contain tumours from the background parenchyma of the breast is a highly challenging task. This is made difficult by factors including the complicated structure of breast tissues, unclear boundaries between normal tissues and tumours, and the low contrast between masses and surrounding ...
Keywords: fuzzy sets, thresholding, digital mammography, image segmentation, mass detection

11
November 2011 BIBMW '11: Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Herbal prescription in Traditional Chinese Medicine (TCM) relies on the experience of the prescribing doctor after appropriate diagnosis. The combination of herbs chosen, though based on the various Classics, can vary between patients with the same diagnosis. Furthermore, the underlying principles for the choice of herbs are not well defined, ...

12
July 2011 International Journal of Data Mining and Bioinformatics: Volume 5 Issue 4, July 2011
Publisher: Inderscience Publishers
Bibliometrics:
Citation Count: 1

The efficacy of a traditional Chinese medicine medication derives from the complex interactions of herbs or Chinese Materia Medica in a formula. The aim of this paper is to propose a new approach to systematically generate combinations of interacting herbs that might lead to good outcome. Our approach was tested ...

13
May 2011 PAKDD'11: Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Traditional Chinese Medicine (TCM) relies heavily on interactions between herbs within prescribed formulae. However, given the combinatorial explosion due to the vast number of herbs available for treatment, the study of herb-herb interactions by pure human analysis is impractical, with computeraided analysis computationally expensive. Thus feature selection is crucial as ...
Keywords: feature selection, traditional Chinese medicine, data mining, wrapper, memetic algorithm

14
June 2010 ICMB'10: Proceedings of the Second international conference on Medical Biometrics
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

In this paper, we aim to investigate strong herb-herb interactions in TCM for effective treatment of insomnia. Given that extraction of herb interactions is quite similar to gene epistasis study due to non-linear interactions among their study factors, we propose to apply Multifactor Dimensionality Reduction (MDR) that has shown useful ...
Keywords: multifactor dimensionality reduction, network analysis, features selection, herb interactions, traditional chinese medicine, insomnia

15
June 2010 PAKDD'10: Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The problems of variable selection and inference of statistical dependence have been addressed by modeling in the gradients learning framework based on the representer theorem In this paper, we propose a new gradients learning algorithm in the Bayesian framework, called Gaussian Processes Gradient Learning (GPGL) model, which can achieve higher ...

16
November 2009 AI '09: Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we proposed a new nonlinear dimensionality reduction algorithm called regularized Kernel Local Linear Embedding (rKLLE) for highly structured data. It is built on the original LLE by introducing kernel alignment type of constraint to effectively reduce the solution space and find out the embeddings reflecting the prior ...

17
April 2009 PAISI '09: Proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In recent years, law enforcement personnel have been greatly aided by the deployment of automated fingerprint identification systems (AFIS). These "black-box" systems largely operate by matching distinctive features automatically extracted from fingerprint images for their decisions. However, current systems have two major shortcomings. First, the identification result depends solely on ...
Keywords: Adaptive information processing, Biometrics, Relevance feedback, Dimensionality reduction, Fingerprint identification, User-centered

18
January 2009 Neurocomputing: Volume 72 Issue 4-6, January, 2009
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

Further to our recent work on the robust L1 PCA we introduce a new version of robust PCA model based on the so-called multivariate Laplace distribution (called L1 distribution) proposed in Eltoft et al. [2006. On the multivariate Laplace distribution. IEEE Signal Process. Lett. 13(5), 300-303]. Due to the heavy ...
Keywords: EM algorithm, Dimensionality reduction, Robust L1 PCA

19
December 2008 AI '08: Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

A new iterative procedure for solving regression problems with the so-called LASSO penalty [1] is proposed by using generative Bayesian modeling and inference. The algorithm produces the anticipated parsimonious or sparse regression models that generalize well on unseen data. The proposed algorithm is quite robust and there is no need ...

20
August 2008 IEEE Transactions on Pattern Analysis and Machine Intelligence: Volume 30 Issue 8, August 2008
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 10

In most existing dimensionality reduction algorithms, the main objective is to preserve relational structure among objects of the input space in a low dimensional embedding space. This is achieved by minimizing the inconsistency between two similarity/dissimilarity measures, one for the input data and the other for the embedded data, via ...
Keywords: Visualization, Machine learning, Machine learning, Clustering, Visualization, Clustering



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