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Articles 7621 - 7650 of 8679
Full-Text Articles in Entire DC Network
Modeling Local Interest Points For Semantic Detection And Video Search At Trecvid 2006, Yu-Gang Jiang, Xiaoyong Wei, Chong-Wah Ngo, Hung-Khoon Tan, Wanlei Zhao, Xiao Wu
Modeling Local Interest Points For Semantic Detection And Video Search At Trecvid 2006, Yu-Gang Jiang, Xiaoyong Wei, Chong-Wah Ngo, Hung-Khoon Tan, Wanlei Zhao, Xiao Wu
Research Collection School Of Computing and Information Systems
Local interest points (LIPs) and their features have been shown to obtain surprisingly good results in object detection and recognition. Its effectiveness and scalability, however, have not been seriously addressed in large-scale multimedia database, for instance TRECVID benchmark. The goal of our works is to investigate the role and performance of LIPs, when coupling with multi-modality features, for high-level feature extraction and automatic video search.
Integration Of Wikipedia And A Geography Digital Library, Ee Peng Lim, Zhe Wang, Darwin Sadeli, Yuanyuan Li, Chew-Hung Chang, Kalyani Chatterjea, Dion Hoe-Lian Goh, Yin-Leng Theng, Jun Zhang, Aixin Sun
Integration Of Wikipedia And A Geography Digital Library, Ee Peng Lim, Zhe Wang, Darwin Sadeli, Yuanyuan Li, Chew-Hung Chang, Kalyani Chatterjea, Dion Hoe-Lian Goh, Yin-Leng Theng, Jun Zhang, Aixin Sun
Research Collection School Of Computing and Information Systems
In this paper, we address the problem of integrating Wikipedia, an online encyclopedia, and G-Portal, a web-based digital library, in the geography domain. The integration facilitates the sharing of data and services between the two web applications that are of great value in learning. We first present an overall system architecture for supporting such an integration and address the metadata extraction problem associated with it. In metadata extraction, we focus on extracting and constructing metadata for geo-political regions namely cities and countries. Some empirical performance results will be presented. The paper will also describe the adaptations of G-Portal and Wikipedia …
The Cartel Party And The Rise Of The New Extreme Right, Riccardo Pelizzo
The Cartel Party And The Rise Of The New Extreme Right, Riccardo Pelizzo
Research Collection School of Social Sciences
No abstract provided.
Smartic: Towards Building An Accurate, Robust And Scalable Specification Miner, David Lo, Siau-Cheng Khoo
Smartic: Towards Building An Accurate, Robust And Scalable Specification Miner, David Lo, Siau-Cheng Khoo
Research Collection School Of Computing and Information Systems
Improper management of software evolution, compounded by imprecise, and changing requirements, along with the “short time to market ” requirement, commonly leads to a lack of up-to-date specifications. This can result in software that is characterized by bugs, anomalies and even security threats. Software specification mining is a new technique to address this concern by inferring specifications automatically. In this paper, we propose a novel API specification mining architecture called SMArTIC (Specification Mining Architecture with Trace fIltering and Clustering) to improve the accuracy, robustness and scalability of specification miners. This architecture is constructed based on two hypotheses: (1) Erroneous traces …
New Paradigm Of Inference Control With Trusted Computing, Yanjiang Yang, Yingjiu Li, Robert H. Deng
New Paradigm Of Inference Control With Trusted Computing, Yanjiang Yang, Yingjiu Li, Robert H. Deng
Research Collection School Of Computing and Information Systems
The database server is a crucial bottleneck in traditional inference control architecture, as it enforces highly computation-intensive auditing for all users who query the protected database. As a result, most auditing methods, though rigorously studied, can never be implemented in practice for protecting largescale real-world database systems. To shift this paradigm, we propose a new inference control architecture that will entrust inference control to each users platform, provided that the platform is equipped with trusted computing technology. The trusted computing technology is designed to attest the state of a users platform to the database server, so as to assure the …
Understanding User Perceptions On Usefulness And Usability Of An Integrated Wiki-G-Portal, Yin-Leng Theng, Yuanyuan Li, Ee Peng Lim, Zhe Wang, Dion Hoe-Lian Goh, Chew-Hung Chang, Kalyani Chatterjea, Jun Zhang
Understanding User Perceptions On Usefulness And Usability Of An Integrated Wiki-G-Portal, Yin-Leng Theng, Yuanyuan Li, Ee Peng Lim, Zhe Wang, Dion Hoe-Lian Goh, Chew-Hung Chang, Kalyani Chatterjea, Jun Zhang
Research Collection School Of Computing and Information Systems
This paper describes a pilot study on Wiki-G-Portal, a project integrating Wikipedia, an online encyclopedia, into G-Portal, a Web-based digital library, of geography resources. Initial findings from the pilot study seemed to suggest positive perceptions on usefulness and usability of Wiki-G-Portal, as well as subjects' attitude and intention to use.
Justice For The Vulnerable? Debating The Relationship Between Aboriginal People And Australian Criminal Justice, Mark Findlay
Justice For The Vulnerable? Debating The Relationship Between Aboriginal People And Australian Criminal Justice, Mark Findlay
Research Collection Yong Pung How School Of Law
As much as it might be said that a nation is judged by the way it treats its most disadvantaged citizens, the reality of criminal justice is dependent on its relations with the vulnerable. On any measure Australian criminal justice is indicted by the overrepresentation of Aboriginal people in its domain.
Low-Latency Broadcast In Multirate Wireless Mesh Networks, Chun Tung Chou, Archan Misra, Junaid Qadir
Low-Latency Broadcast In Multirate Wireless Mesh Networks, Chun Tung Chou, Archan Misra, Junaid Qadir
Research Collection School Of Computing and Information Systems
In a multirate wireless network, a node can dynamically adjust its link transmission rate by switching between different modulation schemes. In the current IEEE802.11a/b/g standards, this rate adjustment is defined for unicast traffic only. In this paper, we consider a wireless mesh network (WMN), where a node can dynamically adjust its link-layer multicast rates to its neighbors, and address the problem of realizing low-latency network-wide broadcast in such a mesh. We first show that the multirate broadcast problem is significantly different from the single-rate case. We will then present an algorithm for achieving low-latency broadcast in a multirate mesh which …
Natural Obligations And The Common Law Of Unjust Enrichment, Hang Wu Tang
Natural Obligations And The Common Law Of Unjust Enrichment, Hang Wu Tang
Research Collection Yong Pung How School Of Law
Two leading restitution scholars have recently argued that the notion of natural obligations is now an important defence in the law of unjust enrichment. 'In particular, the late Professor Peter Birks asserts, in his last book, that 'the claimant cannot say that the money was not due if, behind the technicalities of the law, there was still a moral obligation to pay.' This development is interesting because the concept of natural obligations is traditionally thought to be a civilian and not a common law concept. Birks' assertion represents an attempt to use the study of comparative law to interpret the …
Fast Tracking Of Near-Duplicate Keyframes In Broadcast Domain With Transitivity Propagation, Chong-Wah Ngo, Wan-Lei Zhao, Yu-Gang Jiang
Fast Tracking Of Near-Duplicate Keyframes In Broadcast Domain With Transitivity Propagation, Chong-Wah Ngo, Wan-Lei Zhao, Yu-Gang Jiang
Research Collection School Of Computing and Information Systems
The identification of near-duplicate keyframe (NDK) pairs is a useful task for a variety of applications such as news story threading and content-based video search. In this paper, we propose a novel approach for the discovery and tracking of NDK pairs and threads in the broadcast domain. The detection of NDKs in a large data set is a challenging task due to the fact that when the data set increases linearly, the computational cost increases in a quadratic speed, and so does the number of false alarms. This paper explores the symmetric and transitive nature of near-duplicate for the effective …
Service Pattern Discovery Of Web Service Mining In Web Service Registry-Repository, Qianhui Althea Liang, Jen-Yao Chung, Steven M. Miller, Yang Ouyang
Service Pattern Discovery Of Web Service Mining In Web Service Registry-Repository, Qianhui Althea Liang, Jen-Yao Chung, Steven M. Miller, Yang Ouyang
Research Collection School Of Computing and Information Systems
This paper presents and elaborates the concept of Web service usage patterns and pattern discovery through service mining. We define three different levels of service usage data: i) user request level, ii) template level and iii) instance level. At each level, we investigate patterns of service usage data and the discovery of these patterns. An algorithm for service pattern discovery at the template level is presented. We show the system architecture of a service-mining enabled service registry repository. Web service patterns, pattern discovery and pattern mining supports the discovery and composition of complex services, which in turn supports the application …
Two-Instant Reallocation In Two-Echelon Spare Parts Inventory Systems, Huawei Song, Hoong Chuin Lau
Two-Instant Reallocation In Two-Echelon Spare Parts Inventory Systems, Huawei Song, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In this paper, we study the problem of deciding when and how to perform reallocation of existing spare parts in a multi-echelon reparable item inventory system. We present a mathematical model that solves the problem when there are two reallocation instants, in response to the open challenge post by Cao and Silver(2005) to consider two or more possible reallocations within a replenishment cycle.
A Capabilities Perspective On The Effects Of Early Internationalization On Firm Survival And Growth, Harry J. Sapienza, Erkko Autio, Gerard George, Shaker A. Zahra
A Capabilities Perspective On The Effects Of Early Internationalization On Firm Survival And Growth, Harry J. Sapienza, Erkko Autio, Gerard George, Shaker A. Zahra
Research Collection Lee Kong Chian School Of Business
Recent critiques of internationalization process models question the wisdom of delaying internationalization. Internationalizing late allows firms to assemble resources and gain experience but also allows inertia to develop. We resolve this tension by positing that internationalization has differing effects on firm survival and growth. These effects are moderated by organizational age, managerial experience, and resource fungibility. Our framework provides insights into the evolution of capabilities across borders and may be tested and built on by organization researchers.
Institutional Holdings And Analysts’ Stock Recommendations, Qiang Cheng, Xia Chen
Institutional Holdings And Analysts’ Stock Recommendations, Qiang Cheng, Xia Chen
Research Collection School Of Accountancy
Prior studies document that institutional investors outperform the mar- ket. We investigate whether this superior performance is partly derived from institutional investors use of sell-side analysts stock recommenda- tions. First, we find that the quarterly change in institutional ownership is positively correlated with consensus recommendations. After control- ling for other determinants of institutional holdings, the quarterly change in institutional ownership is on average 0.90 percent higher for firms with favorable recommendations than for those with unfavorable recommendations. Second, using large trades to proxy for institutional trading, we find that there are more buyer-initiated than seller-initiated large trades around favorable recommendations …
On Joint Modelling And Testing For Local And Global Spatial Externalities, Zhenlin Yang
On Joint Modelling And Testing For Local And Global Spatial Externalities, Zhenlin Yang
Research Collection School Of Economics
This paper concerns the joint modeling, estimation and testing for local and global spatial externalities. Spatial externalities have become in recent years a standard notion of economic research activities in relation to social interactions, spatial spillovers and dependence, etc., and have received an increasing attention by econometricians and applied researchers. While conceptually the principle underlying the spatial dependence is straightforward, the precise way in which this dependence should be included in a regression model is complex. Following the taxonomy of Anselin (2003, International Regional Science Review 26, 153-166), a general model is proposed, which takes into account jointly local and …
Extracting Link Chains Of Relationship Instances From A Website, Myo-Myo Naing, Ee Peng Lim, Roger Hsiang-Li Chiang
Extracting Link Chains Of Relationship Instances From A Website, Myo-Myo Naing, Ee Peng Lim, Roger Hsiang-Li Chiang
Research Collection School Of Computing and Information Systems
Web pages from a Web site can often be associated with concepts in an ontology, and pairs of Web pages also can be associated with relationships between concepts. With such associations, the Web site can be searched, browsed, or even reorganized based on the concept and relationship labels of its Web pages. In this article, we study the link chain extraction problem that is critical to the extraction of Web pages that are related. A link chain is an ordered list of anchor elements linking two Web pages related by some semantic relationship. We propose a link chain extraction method …
Novartis's Alex Gorsky: Ensuring That Patients Get Access To The Medicines They Need, Knowledge@Smu
Novartis's Alex Gorsky: Ensuring That Patients Get Access To The Medicines They Need, Knowledge@Smu
Knowledge@SMU
Alex Gorsky was named head of Pharma North America and CEO of Novartis Pharmaceuticals Corp., the U.S. affiliate of Swiss drug giant Novartis, in the fall of 2005. Since joining the company in 2004 as chief operating officer and head of general medicines, Gorsky has overseen the continued growth of Novartis's industry-leading cardiovascular franchise, notably the blockbuster drugs Diovan and Lotrel. The company sells a variety of products, including those that treat endocrine and respiratory disease, gastrointestinal illnesses, cancer and blood disorders and bone and joint conditions, among others. Prior to joining Novartis, Gorsky was company group chairman for Johnson …
Which Daily Price Is Less Noisy?, Christopher Ting
Which Daily Price Is Less Noisy?, Christopher Ting
Research Collection Lee Kong Chian School Of Business
The daily efficient price is the price that would prevail if the market were frictionless. I show that volume-weighted average price (VWAP) provides a less noisy estimate for the unobservable efficient price as compared to the closing price. The variance of daily returns computed with VWAPs is smaller than that computed with closing prices. The difference between these two realized variances is economically significant. The volatility of log closing price change tends to understate the beta risk and Sharpe ratio. A higher noise level in the closing price leads to derivative prices that favor option and volatility-related swap writers.
Video-Based Versus Written Situational Judgment Tests: A Comparison In Terms Of Predictive Validity, Filip Lievens, Paul R. Sackett
Video-Based Versus Written Situational Judgment Tests: A Comparison In Terms Of Predictive Validity, Filip Lievens, Paul R. Sackett
Research Collection Lee Kong Chian School Of Business
In this study, the authors examined whether video-based situational judgment tests (SJTs) have higher predictive validity than written SJTs (keeping verbal content constant). The samples consisted of 1, 159 students who completed a video-based version of an SIT and 1,750 students who completed the same SIT in a written format. The study was conducted in a high stakes testing context. The video-based version of an interpersonally oriented SJT had a lower correlation with cognitive ability than did the written version. It also had higher predictive and incremental validity for predicting interpersonally oriented criteria than did the written version. In this …
Set Inference For Semiparametric Discrete Games, Kyoo-Il Kim
Set Inference For Semiparametric Discrete Games, Kyoo-Il Kim
Research Collection School Of Economics
We consider estimation and inference of parameters in discrete games allowing for multiple equilibria, without using an equilibrium selection rule. We do a set inference while a game model can contain infinite dimensional parameters. Examples can include signaling games with discrete types where the type distribution is nonparametrically specified and entry-exit games with partially linear payoffs functions. A consistent set estimator and a confidence interval of a function of parameters are provided in this paper. We note that achieving a consistent point estimation often requires an information reduction. Due to this less use of information, we may end up a …
Practical Private Data Matching Deterrent To Spoofing Attacks, Yanjiang Yang, Robert H. Deng, Feng Bao
Practical Private Data Matching Deterrent To Spoofing Attacks, Yanjiang Yang, Robert H. Deng, Feng Bao
Research Collection School Of Computing and Information Systems
Private data matching between the data sets of two potentially distrusted parties has a wide range of applications. However, existing solutions have substantial weaknesses and do not meet the needs of many practical application scenarios. In particular, practical private data matching applications often require discouraging the matching parties from spoofing their private inputs. In this paper, we address this challenge by forcing the matching parties to "escrow" the data they use for matching to an auditorial agent, and in the "after-the-fact" period, they undertake the liability to attest the genuineness of the escrowed data.
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Research Collection School Of Computing and Information Systems
In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Instead of having a single learner to classify all datasets during each recursion, an appropriate learner is chosen from a set of three learners, based on the subset of data being trained, thereby avoiding the time overhead associated with the genetic algorithm learner utilized in previous approaches. In this way MLRT seeks to identify the inherent characteristics of …
Government Procurement: A View From Asia, Locknie Hsu
Government Procurement: A View From Asia, Locknie Hsu
Research Collection Yong Pung How School Of Law
There is no single approach to government procurement regulation among Asian countries. While some are signatories to the WTO's Government Procurement Agreement (GPA), others are not. Some have deliberate policies which confer preferences on domestic suppliers of goods and services. Even so, some have embarked on changing their GP regimes independently of WTO requirements. Yet others appear to be prepared to make changes in tandem with the negotiation of bilateral or regional free trade agreements. This article examines government procurement from these varied perspectives of Asian countries.
Performance, Growth And Earnings Management, Chi Wen Jevons Lee, Laura Yue Li, Heng Yue
Performance, Growth And Earnings Management, Chi Wen Jevons Lee, Laura Yue Li, Heng Yue
Research Collection School Of Accountancy
We study the relationship between the amount of managed earnings and firms' earnings performance and expected growth in a reporting model, where managers manipulate earnings to influence the valuation of firms' equity while bearing a cost that is increasing and convex in the amount of managed earnings. In the unique revealing equilibrium to the model, firms with higher performance and growth over-report earnings by a larger amount because price responsiveness increases with earnings performance and growth. And earnings quality, defined as the proportion of true economic earnings in total reported earnings, increases with earnings performance but decreases with earnings growth. …
Discovering Image-Text Associations For Cross-Media Web Information Fusion, Tao Jiang, Ah-Hwee Tan
Discovering Image-Text Associations For Cross-Media Web Information Fusion, Tao Jiang, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
The diverse and distributed nature of the information published on the World Wide Web has made it difficult to collate and track information related to specific topics. Whereas most existing work on web information fusion has focused on multiple document summarization, this paper presents a novel approach for discovering associations between images and text segments, which subsequently can be used to support cross-media web content summarization. Specifically, we employ a similarity-based multilingual retrieval model and adopt a vague transformation technique for measuring the information similarity between visual features and textual features. The experimental results on a terrorist domain document set …
Masking Page Reference Patterns In Encryption Databases On Untrusted Storage, Xi Ma, Hwee Hwa Pang, Kian-Lee Tan
Masking Page Reference Patterns In Encryption Databases On Untrusted Storage, Xi Ma, Hwee Hwa Pang, Kian-Lee Tan
Research Collection School Of Computing and Information Systems
To support ubiquitous computing, the underlying data have to be persistent and available anywhere-anytime. The data thus have to migrate from devices that are local to individual computers, to shared storage volumes that are accessible over open network. This potentially exposes the data to heightened security risks. In particular, the activity on a database exhibits regular page reference patterns that could help attackers learn logical links among physical pages and then launch additional attacks. We propose two countermeasures to mitigate the risk of attacks initiated through analyzing the shared storage server’s activity for those page patterns. The first countermeasure relocates …
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Multi-Learner Based Recursive Supervised Training, Laxmi R. Iyer, Kiruthika Ramanathan, Sheng-Uei Guan
Research Collection School Of Computing and Information Systems
In this paper, we propose the multi-learner based recursive supervised training (MLRT) algorithm, which uses the existing framework of recursive task decomposition, by training the entire dataset, picking out the best learnt patterns, and then repeating the process with the remaining patterns. Instead of having a single learner to classify all datasets during each recursion, an appropriate learner is chosen from a set of three learners, based on the subset of data being trained, thereby avoiding the time overhead associated with the genetic algorithm learner utilized in previous approaches. In this way MLRT seeks to identify the inherent characteristics of …
Relationships, Layoffs, And Organizational Resilience: Airline Industry Responses To September 11, Jody H. Gittell, Kim Cameron, Sandy Lim, Victor Rivas
Relationships, Layoffs, And Organizational Resilience: Airline Industry Responses To September 11, Jody H. Gittell, Kim Cameron, Sandy Lim, Victor Rivas
Research Collection School of Social Sciences
The terrorist attacks of September 11, 2001, affected the U.S. airline industry more than almost any other industry. Certain airlines emerged successful and demonstrated remarkable resilience while others languished. This investigation identifies reasons why some airline companies recovered successfully after the attacks while others struggled. Evidence is provided that layoffs after the crisis, although intended to foster recovery, instead inhibited recovery throughout the 4 years after the crisis. But, layoffs after the crisis were strongly correlated with lack of financial reserves and lack of a viable business model prior to the crisis. Digging deeper, the authors find that having a …
Rights Protection For Data Cubes, Jie Guo, Yingjiu Li, Robert H. Deng, Kefei Chen
Rights Protection For Data Cubes, Jie Guo, Yingjiu Li, Robert H. Deng, Kefei Chen
Research Collection School Of Computing and Information Systems
We propose a rights protection scheme for data cubes. The scheme embeds ownership information by modifying a set of selected cell values. The embedded message will not affect the usefulness of data cubes in the sense that the sum queries at any aggregation level are not affected. At the same time, the errors introduced to individual cell values are under control. The embedded message can be detected with a high probability even in the presence of typical data cube attacks. The proposed scheme can thus be used for protecting data cubes from piracy in an open, distributed environment.
Escalation And De-Escalation Of Commitment To Information Systems Projects: Insights From A Project Evaluation Model, Shan Ling Pan, Gary S. C. Pan, Michael Newman, Donal Flynn
Escalation And De-Escalation Of Commitment To Information Systems Projects: Insights From A Project Evaluation Model, Shan Ling Pan, Gary S. C. Pan, Michael Newman, Donal Flynn
Research Collection School Of Accountancy
This paper outlines a project evaluation model for examining escalation and de-escalation of commitment to information systems projects. We view escalation and de-escalation of commitment as processes involving recurring instances of approach-avoidance conflict. In the model, the sequential mapping of project events is integrated with a model of approach-avoidance conflict that identifies periods of gradual evolution at two separate levels of social analysis (project and work) that are punctuated by sudden, revolutionary periods of rapid change. By conceiving the processes of commitment escalation and de-escalation as sequences of events involving approach-avoidance conflicts, researchers may develop a deeper understanding of how …