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Articles 20341 - 20370 of 23256
Full-Text Articles in Entire DC Network
Near-Duplicate Keyframe Retrieval With Visual Keywords And Semantic Context, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo
Near-Duplicate Keyframe Retrieval With Visual Keywords And Semantic Context, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by exploring both visual and textual cues from the visual vocabulary and semantic context respectively. The vocabulary, which provides entries for visual keywords, is formed by the clustering of local keypoints. The semantic context is inferred from the speech transcript surrounding a keyframe. We experiment the usefulness of visual keywords and semantic context, separately and jointly, using cosine similarity and language models. By linearly fusing both modalities, performance improvement is reported compared with the …
Towards Optimal Bag-Of-Features For Object Categorization And Semantic Video Retrieval, Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang
Towards Optimal Bag-Of-Features For Object Categorization And Semantic Video Retrieval, Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang
Research Collection School Of Computing and Information Systems
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as reliability and scalability of visual classification, nevertheless, remains uncertain due to various implementation choices. In this paper, we evaluate various factors which govern the performance of BoF. The factors include the choices of detector, kernel, vocabulary size and weighting scheme. We offer some practical insights in how to optimize the performance by choosing good keypoint detector and kernel. For the weighting scheme, we propose a novel soft-weighting method to assess the significance of a visual word …
Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis
Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis
Research Collection School Of Computing and Information Systems
In the k-medoid problem, given a dataset P, we are asked to choose kpoints in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points in P and their closest medoid. Finding the optimal k medoids is NP hard, and existing algorithms aim at approximate answers, i.e., they compute medoids that achieve a small, yet not minimal, average distance. Similarly in this paper, we also aim at approximate solutions. We consider, however, the continuous version of the problem, where the points in P move and our task is to maintain the medoid set on-the-fly …
On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee
On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee
Research Collection School Of Computing and Information Systems
A continuous nearest neighbor (CNN) search, which retrieves the nearest neighbors corresponding to every point in a given query line segment, is important for location-based services such as vehicular navigation and tourist guides. It is infeasible to answer a CNN search by issuing a traditional nearest neighbor query at every point of the line segment due to the large number of queries generated and the overhead on bandwidth. Algorithms have been proposed recently to support CNN search in the traditional client-server systems but not in the environment of wireless data broadcast, where uplink communication channels from mobile devices to the …
Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim
Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
We consider the problem of analyzing word trajectories in both time and frequency domains, with the specific goal of identifying important and less-reported, periodic and aperiodic words. A set of words with identical trends can be grouped together to reconstruct an event in a completely un-supervised manner. The document frequency of each word across time is treated like a time series, where each element is the document frequency - inverse document frequency (DFIDF) score at one time point. In this paper, we 1) first applied spectral analysis to categorize features for different event characteristics: important and less-reported, periodic and aperiodic; …
Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deeper understanding of the causal interactions among biological entities like genes and proteins may be possible. In this paper, we introduce a robust knowledge discovery approach that addresses these challenges. First, the causal interactions among the genes and proteins in the noisy expression data are discovered automatically through Bayesian network learning. Then, the diagnosis of a disease based on …
Generating Job Schedules For Vessel Operations In A Container Terminal, Thin Yin Leong, Hoong Chuin Lau
Generating Job Schedules For Vessel Operations In A Container Terminal, Thin Yin Leong, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
No abstract provided.
The Business Model Of "Software-As-A-Service", Dan Ma
The Business Model Of "Software-As-A-Service", Dan Ma
Research Collection School Of Computing and Information Systems
The emergence of the software-as-a-service (SaaS) business model has attracted great attentions from both researchers and practitioners. SaaS vendors deliver on-demand information processing services to users, and thus offer computing utility rather than the standalone software itself. In this work, the author propose an analytical model to study the competition between the SaaS and the traditional COTS (commercial off-the-shelf) solutions for software applications. The author show that when software applications become open, modulated, and standardized, the SaaS business model will take a significant market share. In addition, under certain market conditions, offering users an easy exit option through the software …
It's Not So Hard To Say Goodbye, M. Thulasidas
It's Not So Hard To Say Goodbye, M. Thulasidas
Research Collection School Of Computing and Information Systems
Staff retention is a major problem in the job market here. Our economy is doing well; our job market is red hot. As a result, new job offers are becoming more irresistible. At some stage, someone you work closely with — be it your staff, your boss or a fellow team member — is going to hand in that dreaded letter to the human resource (HR) department. Handling resignations with tact and grace is no longer merely a desirable quality, but an essential corporate skill today.
Improving Memory-Based Collaborative Filtering Using A Factor-Based Approach, Zhenxue Zhang, Dongsong Zhang, Zhiling Guo
Improving Memory-Based Collaborative Filtering Using A Factor-Based Approach, Zhenxue Zhang, Dongsong Zhang, Zhiling Guo
Research Collection School Of Computing and Information Systems
Collaborative Filtering (CF) systems generate recommendations for a user by aggregating item ratings of other like-minded users. The memory-based approach is a common technique used in CF. This approach first uses statistical methods such as Pearson’s Correlation Coefficient to measure user similarities based on their previous ratings on different items. Users will then be grouped into different neighborhood depending on the calculated similarities. Finally, the system will generate predictions on how a user would rate a specific item by aggregating ratings on the item cast by the identified neighbors of his/her. However, current memory-based CF method only measures user similarities …
An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu
An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu
Research Collection School Of Computing and Information Systems
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems. In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building Web-scale …
Explaining Affective Linkages In Teams: Individual Differences In Susceptibility To Contagion And Individualism–Collectivism, Remus Ilies, David T. Wagner, Frederick P. Morgeson
Explaining Affective Linkages In Teams: Individual Differences In Susceptibility To Contagion And Individualism–Collectivism, Remus Ilies, David T. Wagner, Frederick P. Morgeson
Research Collection Lee Kong Chian School Of Business
To expand on the understanding of how affective states are linked within teams, the authors describe a longitudinal study examining the linkages between team members' affective states over time. In a naturalistic team performance setting, they found evidence that the average affective state of the other team members was related to an individual team member's affect over time, even after controlling for team performance. In addition, they found that these affective linkages were moderated by individual differences in susceptibility to emotional contagion and collectivistic tendencies such that the strength of the linkage was stronger for those high in susceptibility and …
Silence Speaks Volumes: The Effectiveness Of Reticence In Comparison To Apology And Denial For Repairing Integrity- And Competence-Based Trust Violations, Donald L. Ferrin, Peter H. Kim, Cecily D. Cooper, Kurt T. Dirks
Silence Speaks Volumes: The Effectiveness Of Reticence In Comparison To Apology And Denial For Repairing Integrity- And Competence-Based Trust Violations, Donald L. Ferrin, Peter H. Kim, Cecily D. Cooper, Kurt T. Dirks
Research Collection Lee Kong Chian School Of Business
Prior research on responses to trust violations has focused primarily on the effects of apology and denial. The authors extended this research by studying another type of verbal response that is often used to respond to trust violations but has not been considered in the trust literature: reticence. An accused party may use reticence in a sincere and even legitimate attempt to persuade a trustor to withhold judgment. Yet, by considering information diagnosticity and belief formation mechanisms through which verbal responses influence trust, the authors argue that reticence is a suboptimal response because it combines the least effective elements of …
Why Is There No Game?' Critical Success Factors In Blending An E-Learning Module Into A Knowledge Management Course: A Case Study From The Singapore Management University (Smu), Thomas Menkhoff, Yue Kee Wong, Tze Yian Thang, Donata Ty Edgardo
Why Is There No Game?' Critical Success Factors In Blending An E-Learning Module Into A Knowledge Management Course: A Case Study From The Singapore Management University (Smu), Thomas Menkhoff, Yue Kee Wong, Tze Yian Thang, Donata Ty Edgardo
Research Collection Lee Kong Chian School Of Business
In 2005, the authors of this essay led the development and launch of SMU's (Singapore Management University) first e-learning package on 'Knowledge Management'. This package has been integrated into the overall teaching strategy, thereby fulfilling the University's mission to be "committed to an interactive, participative and technologically-enabled learning experience"
Since its inception in 2000, SMU's educational and administrative practices are modelled after American institutions, in particular the Wharton School of the University of Pennsylvania. To support SMU's unique pedagogy, wireless technology for mobile computing is a central feature at SMU.
Against this background, the paper presents a self-critical and reflective …
An Empirical Examination Of The Mechanisms Mediating Between High Performance Work Systems And The Performance Of Japanese Organizations, Riki Takeuchi, David P. Lepak, Heli Wang, Kazuo Takeuchi
An Empirical Examination Of The Mechanisms Mediating Between High Performance Work Systems And The Performance Of Japanese Organizations, Riki Takeuchi, David P. Lepak, Heli Wang, Kazuo Takeuchi
Research Collection Lee Kong Chian School Of Business
The resource-based view of the firm and social exchange perspectives are invoked to hypothesize linkages among high-performance work systems, collective human capital, the degree of social exchange in an establishment, and establishment performance. The authors argue that high-performance work systems generate a high level of collective human capital and encourage a high degree of social exchange within an organization, and that these are positively related to the organization's overall performance. On the basis of a sample of Japanese establishments, the results provide support for the existence of these mediating mechanisms through which high-performance work systems affect overall establishment performance.
A Structuralist Model Of The Small Open Economy In The Short, Medium And Long Run, Hian Teck Hoon, Edmund S. Phelps
A Structuralist Model Of The Small Open Economy In The Short, Medium And Long Run, Hian Teck Hoon, Edmund S. Phelps
Research Collection School Of Economics
In open-economy macroeconomics there is a monetary model in the Keynesian tradition that is deemed serviceable for analyzing the short run and there is a nonmonetary neoclassical theory thought capable of handling the long run. But do the Keynesian and neoclassical models meet the challenges thrown out by the main events of the past few decades¡ªthe '80s shock to Europe taking the form of an external jump in real interest rates; the sort of shock experienced in the U.S. and parts of northern Europe in the second half of the '90s: the emerging prospect of new industries in the future …
Distance To Frontier And The Big Swings Of The Unemployment Rate: What Room Is Left For Monetary Policy?, Hian Teck Hoon, Kong Weng Ho
Distance To Frontier And The Big Swings Of The Unemployment Rate: What Room Is Left For Monetary Policy?, Hian Teck Hoon, Kong Weng Ho
Research Collection School Of Economics
This paper builds upon Hoon and Phelps (1992, 1997) to ask how much of the evolution of the unemployment rate over several decades in country can be explained by real factors in an equilibrium model of the natural rate where country's productivity growth depends upon its distance from the world's technological leader. One motivating contemporary example includes the evolution of unemployment rates in Europe as it recovered from the second world war and caught up technologically to the US. Another example that may be less familiar to many people is Singapore (the second fastest growing economy from 1960 to 2000 …
Reviewing Journal Rankings And Revisiting Peer Reviews: Editorial Perspectives, Timothy Adrian Robert Clark, Mike Wright
Reviewing Journal Rankings And Revisiting Peer Reviews: Editorial Perspectives, Timothy Adrian Robert Clark, Mike Wright
Research Collection Lee Kong Chian School Of Business
In this article we respond to the key points made by Macdonald and Kam (2007) in relation to journal quality and the peer review process. Whilst we appreciate that their tone is intentionally provocative, the picture they present is one of unremitting gloom and reluctant acquiescence to a system out of control. It is as if the publication process has a series of self‐supporting logics that separate it from any notion of publishing in order to benefit the discipline through the advance of knowledge and understanding. From this perspective the publishing process and the consequent content of management journals are …
Chaos And Convergence On Bucket Brigade Assembly Lines, John J. Bartholdi, Iii, Donald D. Eisenstein, Yun Fong Lim
Chaos And Convergence On Bucket Brigade Assembly Lines, John J. Bartholdi, Iii, Donald D. Eisenstein, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
One way to coordinate the efforts of workers along an assembly line that has fewer workers than work stations is to form a bucket brigade. Each worker in a bucket brigade simultaneously assembles a single item (an instance of the product) along the line. The worker carries the item from work station to work station until either he hands of his item to a downstream co-worker or he completes the work for his item. The worker then walks back to get another item, either from his co-worker upstream or from a buffer at the beginning of the line. The most …
Entrepreneurship As A Wealth Creation And Value-Adding Process, Wee Liang Tan
Entrepreneurship As A Wealth Creation And Value-Adding Process, Wee Liang Tan
Research Collection Lee Kong Chian School Of Business
The author reflects on the development of the meaning of entrepreneurship. Entrepreneurship is the process of doing something different and new to develop wealth for individual and adding value of the society. He emphasizes that the domain of the entrepreneurship is not only limited to business arena. He adds that its spectrum has also covered the scope of activities of several institutions and organizations.
Systematic Share Price Fluctuations After Bankruptcy Filings And The Investors Who Drive Them, Mark C. Dawkins, Nilabhra Bhattacharya, Linda Smith Bamber
Systematic Share Price Fluctuations After Bankruptcy Filings And The Investors Who Drive Them, Mark C. Dawkins, Nilabhra Bhattacharya, Linda Smith Bamber
Research Collection School Of Accountancy
Beginning in the 1990s, firms often continue to trade on the major national exchanges after Chapter 11 bankruptcy filings. For bankruptcies filed from 1993-2003, we find that the more negative the filing period price reaction, the more favorable the immediate post- filing returns, on average. This reversal is not attributable to bid-ask bounce, it holds after controlling for other factors associated with post-filing returns, and it appears more attributable to the activities of large traders than to small traders. Supplementary tests reveal that the pattern of post-filing returns differs significantly for bankruptcies filed in bull versus bear markets. Bankruptcies filed …
Bonding To The Improved Disclosure Environment In The Us: Firms Listing Choices And Their Capital Market Consequences, Ole-Kristian Hope, Tony Kang, Yoonseok Zang
Bonding To The Improved Disclosure Environment In The Us: Firms Listing Choices And Their Capital Market Consequences, Ole-Kristian Hope, Tony Kang, Yoonseok Zang
Research Collection School Of Accountancy
This paper examines whether the current reporting and disclosure requirements for foreign registrants in the United States affect foreign firms' decisions to list on a U.S. exchange. We find that while firms from a weak disclosure environment are more likely to cross-list and either trade over-the-counter or be placed privately among institutional investors, they are less likely to list on an exchange in which firms are required to comply with U.S. GAAP. This is consistent with the idea that the decrease in the potential private control benefits accruing to managers discourages them from listing on an organized exchange. We further …
Editors' Introduction To Regular Research Section, Jae Kyu Lee, Patrick Y. K. Chau, Robert J. Kauffman, Norman M. Sadeh
Editors' Introduction To Regular Research Section, Jae Kyu Lee, Patrick Y. K. Chau, Robert J. Kauffman, Norman M. Sadeh
Research Collection School Of Computing and Information Systems
The second section of this issue consists of four regular submissions.In “A New Mobile Payment Scheme for Roaming Services”, Ren-Junn Hwang, Sheng-Hua Shiau and Ding-Far Jan present a new mobile payment scheme that supports anonymity while allowing consumers to roam outside of their home operator’s network.Vasudeva Akula and Daniel A. Menascé’s article on “Two-level Workload Characterization of Online Auctions” analyzes the workload of an online auction site. The analysis reveals the presence of heavy tailed distributions and looks at bidding activity during the closing minutes of auctions. The article suggests that results from this analysis could be used to devise …
Instance Weighting For Domain Adaptation In Nlp, Jing Jiang, Chengxiang Zhai
Instance Weighting For Domain Adaptation In Nlp, Jing Jiang, Chengxiang Zhai
Research Collection School Of Computing and Information Systems
Domain adaptation is an important problem in natural language processing (NLP) due to the lack of labeled data in novel domains. In this paper, we study the domain adaptation problem from the instance weighting per- spective. We formally analyze and charac- terize the domain adaptation problem from a distributional view, and show that there are two distinct needs for adaptation, cor- responding to the different distributions of instances and classification functions in the source and the target domains. We then propose a general instance weighting frame- work for domain adaptation. Our empir- ical results on three NLP tasks show that …
A Multi-Scale Tikhonov Regularization Scheme For Implicit Surface Modeling, Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
A Multi-Scale Tikhonov Regularization Scheme For Implicit Surface Modeling, Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
Research Collection School Of Computing and Information Systems
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape models from large-scale sets of point cloud samples efficiently. In this paper, we propose a fast solution for approximating implicit surfaces based on a multi-scale Tikhonov regularization scheme. The optimization of our scheme is formulated into a sparse linear equation system, which can be efficiently solved by factorization methods. Different from traditional approaches, our scheme does not employ auxiliary off-surface points, which not only saves the computational cost but also avoids the problem …
Similarity Beyond Distance Measurement, Feng Kang, Rong Jin, Steven C. H. Hoi
Similarity Beyond Distance Measurement, Feng Kang, Rong Jin, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and most similarity measures are based on certain distance measurement between these features. Given a distance metric, two images with shorter distance are deemed to more similar than images that are far away. The well-known problem with these similarity measures is the semantic gap, namely two images separated by large distance could share the same semantic content. In this paper, we propose a novel similarity measure of images that goes beyond the distance …
Are Radio Sources And Gamma Ray Bursts Luminal Booms?, Manoj Thulasidas
Are Radio Sources And Gamma Ray Bursts Luminal Booms?, Manoj Thulasidas
Research Collection School Of Computing and Information Systems
The softening of a Gamma Ray Burst (GRB) afterglow bears remarkable similarities to the frequency evolution in a sonic boom. Atthe front end of the sonic boom cone, the frequency is infinite, much like a GRB. Inside the cone, the frequencyrapidly decreases to infrasonic ranges and the sound source appears at two places at the same time,mimicking the double-lobed radio sources. Although a “luminal” boom violates the Lorentz invarianceand is therefore forbidden, it is tempting to work out the details and compare them with existing data. This temptation is further enhanced by the observed superluminality in the celestial objects associated …
Usage-Based Versus Flat Pricing For E-Business Services With Differentiated Qos, Zhen Liu, Laura Wynter, Cathy Xia
Usage-Based Versus Flat Pricing For E-Business Services With Differentiated Qos, Zhen Liu, Laura Wynter, Cathy Xia
Research Collection School Of Computing and Information Systems
Design of e-commerce services that are competitive, in such a quickly responding market, requires the analyses of prices and price structures. We present a general model of an e-commerce market that allows us to analyze optimal price structures, both flat and usage-based. Based on the price structure of a major web hosting provider, we consider both single-tier and two-tier (burst-rate) pricing, and our result suggests that the more complex two-tier structure may not be worth the marketing effort, as the firm?s equilibrium profits will not increase through the use of this structure. An essential feature of our approach is that …
Assessing Organizational Innovation Capability And Its Effect On E-Commerce Initiatives, Ann L. Fruhling, Keng Siau
Assessing Organizational Innovation Capability And Its Effect On E-Commerce Initiatives, Ann L. Fruhling, Keng Siau
Research Collection School Of Computing and Information Systems
This research uses a qualitative approach to study the innovative capability of two organizations and the effect of innovation on their E-Commerce initiatives, strategies, and outcomes. The Innovation Strategy Model is used in this research to analyze the innovative capability of two organizations. The case study research methodology was selected and two case studies are presented. The research results show that one organization is more innovative than the other in terms of its innovative capability. A post-study follow-up shows that the organization that was high on innovative capability was very successful in their E-Commerce initiative whereas the other organization was …
Electoral Laws As Political Consequences: Explaining The Origins And Change Of Electoral Institutions, Kenneth Benoit
Electoral Laws As Political Consequences: Explaining The Origins And Change Of Electoral Institutions, Kenneth Benoit
Research Collection School of Social Sciences
In this review article, I identify the key questions raised by the treatment of electoral systems not as causal influences on party systems but as effects or byproducts of party systems. Framing these questions in the context of the classic consequences-oriented study of electoral institutions, I first review the classic approach, which treats electoral systems as causes, and explore the potential implications when electoral systems are viewed instead as outcomes of party systems. I then survey a variety of principal explanations of the origins and change of electoral laws, followed by a focus on several of the more explicitly defined …