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Articles 19891 - 19920 of 23309
Full-Text Articles in Entire DC Network
Semi-Supervised Distance Metric Learning For Collaborative Image Retrieval, Steven Hoi, Wei Liu, Shih-Fu Chang
Semi-Supervised Distance Metric Learning For Collaborative Image Retrieval, Steven Hoi, Wei Liu, Shih-Fu Chang
Research Collection School Of Computing and Information Systems
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, relevance feedback has been adopted as a promising approach to improve the search performance. In this paper, we propose a novel idea of learning with historical relevance feedback log data, and adopt a new paradigm called “Collaborative Image Retrieval” (CIR). To effectively explore the log data, we propose a novel semi-supervised distance metric learning technique, called “Laplacian Regularized Metric Learning” (LRML), for learning robust distance metrics for CIR. Different from previous methods, the proposed LRML method integrates both …
Mediation And The Art Of Regulation, Nadja Alexander
Mediation And The Art Of Regulation, Nadja Alexander
Research Collection Yong Pung How School Of Law
In a political climate filled with talk of how to best regulate mediation, it is surprising that so little regulatory theory has been brought into the discussion. The aim of this paper is to provide a conceptual framework for informed debate in relation to the regulation of mediation. The framework comprises two parts. First, four international regulatory trends in mediation are introduced: the market-contract, self-regulatory, formal framework and formal legislative approaches. Against this background the second part deals with the specific content of regulatory provisions on mediation. The resulting framework is called the Mediation Mix, which brings form and content …
Inference For General Parametric Functions In Box-Cox-Type Transformation Models, Zhenlin Yang, Eden Ka-Ho Wu, Anthony F. Desmond
Inference For General Parametric Functions In Box-Cox-Type Transformation Models, Zhenlin Yang, Eden Ka-Ho Wu, Anthony F. Desmond
Research Collection School Of Economics
The authors propose a simple but general method of inference for a parametric function of the Box-Cox-type transformation model. Their approach is built upon the classical normal theory but takes parameter estimation into account. It quickly leads to test statistics and confidence intervals for a linear combination of scaled or unscaled regression coefficients, as well as for the survivor function and marginal effects on the median or other quantile functions of an original response. The authors show through simulations that the finite-sample performance of their method is often superior to the delta method, and that their approach is robust to …
Dynamic Performance And The Performance-Performance Rating Relation, Jochen Reb, Gary J. Greguras
Dynamic Performance And The Performance-Performance Rating Relation, Jochen Reb, Gary J. Greguras
Research Collection Lee Kong Chian School Of Business
In this commentary we discuss the appropriateness and usefulness of taking into account the dynamic nature of performance when considering the relation between job performance and ratings of job performance. Like the vast majority of research in this area, Murphy (this issue) does not critically examine whether or how changes in ratee performance over time influence job performance ratings. As noted by Murphy and Cleveland (1995), a limitation of performance appraisal research is that it has ignored that employee performance “…is embedded in a context or pattern of employee performance over time” (p. 73). In this commentary, we argue that …
Seemon: Scalable And Energy-Efficient Context Monitoring Framework For Sensor-Rich Mobile Environments, Seungwoo Kang, Jinwon Lee, Hyukjae Jang, Hyonik Lee, Youngki Lee, Souneil Park, Taiwoo Park, Junehwa Song
Seemon: Scalable And Energy-Efficient Context Monitoring Framework For Sensor-Rich Mobile Environments, Seungwoo Kang, Jinwon Lee, Hyukjae Jang, Hyonik Lee, Youngki Lee, Souneil Park, Taiwoo Park, Junehwa Song
Research Collection School Of Computing and Information Systems
Proactively providing services to mobile individuals is essential for emerging ubiquitous applications. The major challenge in providing users with proactive services lies in continuously monitoring their contexts based on numerous sensors. The context monitoring with rich sensors imposes heavy workloads on mobile devices with limited computing and battery power. We present SeeMon, a scalable and energy-efficient context monitoring framework for sensor-rich, resource-limited mobile environments. Running on a personal mobile device, SeeMon effectively performs context monitoring involving numerous sensors and applications. On top of SeeMon, multiple applications on the device can proactively understand users' contexts and react appropriately. This paper proposes …
Multi-View Ear Recognition Based On B-Spline Pose Manifold Construction, Zhiyuan Zhang, Heng Liu
Multi-View Ear Recognition Based On B-Spline Pose Manifold Construction, Zhiyuan Zhang, Heng Liu
Research Collection School Of Computing and Information Systems
In this work, multi-view ear recognition problems are examined in detail. A new multi-view ear recognition approach based on B-Spline pose manifold construction in discriminative projection space which is formed by null kernel discriminant analysis (NKDA) feature extraction is presented. Many experiments and comparisons are provided to show the effectiveness of our multi-view ear recognition approach.
International Perspectives On The Legal Environment For Selection, Brett Myors, Filip Lievens, Steven F. Cronshow, E Schollaert, G Van Hoye, A Mladinic, V Rodriguez, H Aguinis, Dd Steiner, F Rolland, H Schuler, A Frintrup, I Nikolaou, M Tomprou, S Subramony, Sb Raj, S Tzafrir, P Bamberger, M Bertolino, M Mariani
International Perspectives On The Legal Environment For Selection, Brett Myors, Filip Lievens, Steven F. Cronshow, E Schollaert, G Van Hoye, A Mladinic, V Rodriguez, H Aguinis, Dd Steiner, F Rolland, H Schuler, A Frintrup, I Nikolaou, M Tomprou, S Subramony, Sb Raj, S Tzafrir, P Bamberger, M Bertolino, M Mariani
Research Collection Lee Kong Chian School Of Business
Perspectives from 22 countries on aspects of the legal environment for selection are presented in this article. Issues addressed include (a) whether there are racial/ethnic/religious subgroups viewed as "disadvantaged,'' (b) whether research documents mean differences between groups on individual difference measures relevant to job performance, (c) whether there are laws prohibiting discrimination against specific groups, (d) the evidence required to make and refute a claim of discrimination, (e) the consequences of violation of the laws, (f) whether particular selection methods are limited or banned, (g) whether preferential treatment of members of disadvantaged groups is permitted, and (h) whether the practice …
An Office Survival Guide, M. Thulasidas
An Office Survival Guide, M. Thulasidas
Research Collection School Of Computing and Information Systems
In the unforgiving, dog-eat-dog corporate jungle, when you find yourself in a new corporate setting, you need to be sure of the welcome. More importantly, you need to prove yourself worthy of it.
Measuring Novelty And Redundancy With Multiple Modalities In Cross-Lingual Broadcast News, Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
Measuring Novelty And Redundancy With Multiple Modalities In Cross-Lingual Broadcast News, Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories, news story similarity plays a critical role in assessing the novelty and redundancy among news stories. In this paper, we explore different measures of novelty and redundancy detection for cross-lingual news stories. A news story is represented by multimodal features which include a sequence of keyframes in the visual track, and a set of words and named entities extracted from speech transcript in the audio track. Vector space models and language models on individual features (text, …
Self-Organizing Neural Models Integrating Rules And Reinforcement Learning, Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
Self-Organizing Neural Models Integrating Rules And Reinforcement Learning, Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural models known as fusion architecture for learning, cognition and navigation (FALCON) can incorporate a priori knowledge and perform knowledge refinement and expansion through reinforcement learning. Symbolic rules are formulated based on pre-existing know-how and inserted into FALCON as a priori knowledge. The availability of knowledge enables FALCON to start performing earlier in the initial learning trials. Through a temporal-difference (TD) learning method, the inserted rules can be refined and expanded according to the evaluative feedback signals received …
Context Modeling With Evolutionary Fuzzy Cognitive Map In Interactive Storytelling, Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
Context Modeling With Evolutionary Fuzzy Cognitive Map In Interactive Storytelling, Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
Research Collection School Of Computing and Information Systems
To generate a believable and dynamic virtual world is a great challenge in interactive storytelling. In this paper, we propose a model, namely evolutionary fuzzy cognitive map (E-FCM), to model the dynamic causal relationships among different context variables. As an extension to conventional FCM, E-FCM models not only the fuzzy causal relationships among the variables, but also the probabilistic property of causal relationships, and asynchronous activity update of the concepts. With this model, the context variables evolve in a dynamic and uncertain manner with the according evolving time. As a result, the virtual world is presented more realistically and dynamically.
An Experimental Study On U-Commerce Adoption: Impact Of Personalization And Privacy Concerns, H. Sheng, Fiona Fui-Hoon Nah, Keng Siau
An Experimental Study On U-Commerce Adoption: Impact Of Personalization And Privacy Concerns, H. Sheng, Fiona Fui-Hoon Nah, Keng Siau
Research Collection School Of Computing and Information Systems
Ubiquitous commerce (u-commerce) represents “anytime, anywhere” commerce. U-commerce can provide a high level of personalization, which can bring significant benefits to customers. However, privacy is a major concern to customers and an obstacle to the adoption of u-commerce. This research examines how personalization and context can impact customers’ privacy concerns as well as intention to adopt u-commerce applications. As u-commerce is new and emerging, we used the scenario-based approach to operationalize personalization and context in an experimental study. The experimental results show that the effects of personalization on customers’ privacy concerns and adoption intention are situation dependent.
Work Dispersion, Process-Based Learning And Offshore Software Development Performance, Narayanasamy Ramasubbu, Sunil Mithas, M. S. Krishnan, Chris Kemerer
Work Dispersion, Process-Based Learning And Offshore Software Development Performance, Narayanasamy Ramasubbu, Sunil Mithas, M. S. Krishnan, Chris Kemerer
Research Collection School Of Computing and Information Systems
In this paper we develop a learning-mediated model of offshore software project productivity and quality to examine whether widely adopted structured software processes are effective in mitigating the negative effects of work dispersion in offshore software development. We explicate how the key process areas of the capability maturity model (CMM) can be utilized as a platform to launch learning routines in offshore software development and thereby explain why some offshore software development process improvement initiatives are more effective than others. We validate our learning-mediated model of offshore software project performance by utilizing data collected from 42 offshore software projects of …
Predicting Trusts Among Users Of Online Communities: An Epinions Case Study, Haifeng Liu, Ee Peng Lim, Hady W. Lauw, Minh-Tam Le, Aixin Sun, Jaideep Srivastava, Young Ae Kim
Predicting Trusts Among Users Of Online Communities: An Epinions Case Study, Haifeng Liu, Ee Peng Lim, Hady W. Lauw, Minh-Tam Le, Aixin Sun, Jaideep Srivastava, Young Ae Kim
Research Collection School Of Computing and Information Systems
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users may rely on trust information to make decisions. In this paper, we address the problem of predicting whether a user trusts another user. Most prior work infers unknown trust ratings from known trust ratings. The effectiveness of this approach depends on the connectivity of the known web of trust and can be quite poor when the connectivity is very sparse which is often the case in an online community. In this …
Wikinetviz: Visualizing Friends And Adversaries In Implicit Social Networks, Minh-Tam Le, Hoang-Vu Dang, Ee Peng Lim, Anwitaman Datta
Wikinetviz: Visualizing Friends And Adversaries In Implicit Social Networks, Minh-Tam Le, Hoang-Vu Dang, Ee Peng Lim, Anwitaman Datta
Research Collection School Of Computing and Information Systems
When multiple users with diverse backgrounds and beliefs edit Wikipedia together, disputes often arise due to disagreements among the users. In this paper, we introduce a novel visualization tool known as WikiNetViz to visualize and analyze disputes among users in a dispute-induced social network. WikiNetViz is designed to quantify the degree of dispute between a pair of users using the article history. Each user (and article) is also assigned a controversy score by our proposed controversy rank model so as to measure the degree of controversy of a user (and an article) by the amount of disputes between the user …
Visual Analytics For Supporting Entity Relationship Discovery On Text Data, Hanbo Dai, Ee Peng Lim, Hady W. Lauw, Hwee Hwa Pang
Visual Analytics For Supporting Entity Relationship Discovery On Text Data, Hanbo Dai, Ee Peng Lim, Hady W. Lauw, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
To conduct content analysis over text data, one may look out for important named objects and entities that refer to real world instances, synthesizing them into knowledge relevant to a given information seeking task. In this paper, we introduce a visual analytics tool called ER-Explorer to support such an analysis task. ER-Explorer consists of a data model known as TUBE and a set of data manipulation operations specially designed for examining entities and relationships in text. As part of TUBE, a set of interestingness measures is defined to help exploring entities and their relationships. We illustrate the use of ER-Explorer …
Information-Theory Based Optimal Location Management Schemes For Integrated Multi-System Wireless Networks, Archan Misra, Abhishek Roy, Sajal K. Das
Information-Theory Based Optimal Location Management Schemes For Integrated Multi-System Wireless Networks, Archan Misra, Abhishek Roy, Sajal K. Das
Research Collection School Of Computing and Information Systems
In a multisystem environment where a mobile node can utilize multiple interfaces and simultaneously connect to multiple providers, new opportunities exist for efficient location management strategies spanning heterogeneous cellular wireless networks. In this paper, an integrated framework is developed for location management in such a multi-system, fourth generation (4 G) wireless networks. This information-theoretic framework allows each individual sub-system to operate fairly independently, and does not require the knowledge of individual sub-network topologies. An efficient location management in such a loosely coupled network is designed by having a mobile node view its movement as a vector-valued sequence, and then transmit …
Probabilistically Reliable On-Demand Multicast In Wireless Mesh Networks, Xin Zhao, Chun Tung Chou, Jun Guo, Sanjay Jha, Archan Misra
Probabilistically Reliable On-Demand Multicast In Wireless Mesh Networks, Xin Zhao, Chun Tung Chou, Jun Guo, Sanjay Jha, Archan Misra
Research Collection School Of Computing and Information Systems
This paper studies probabilistically reliable multicast in wireless mesh networks (WMNs), utilizing MAC layer re-transmission and wireless broadcast advantage to improve both the multicast throughput and the delivery rate. We first present a new multicast routing metric which we call the expected multicast transmissions (EMT). EMT captures the effect of link packet delivery ratio, MAC layer retransmission and wireless broadcast advantage at the same time. The EMT of a MAC layer multicast transmission is the expected number of data transmissions (including retransmissions) required for a packet to reach all the recipients. The EMT of a multicast tree is the sum …
Advances And Challenges For Scalable Provenance In Stream Processing Systems, Archan Misra, Marion Blount, Anastasios Kementsietsidis, Daby Sow, Min Wang
Advances And Challenges For Scalable Provenance In Stream Processing Systems, Archan Misra, Marion Blount, Anastasios Kementsietsidis, Daby Sow, Min Wang
Research Collection School Of Computing and Information Systems
While data provenance is a well-studied topic in both database and workflow systems, its support within stream processing systems presents a new set of challenges. Part of the challenge is the high stream event rate and the low processing latency requirements imposed by many streaming applications. For example, emerging streaming applications in healthcare or finance call for data provenance, as illustrated in the Century stream processing infrastructure that we are building for supporting online healthcare analytics. At anytime, given an output data element (e.g., a medical alert) generated by Century, the system must be able to retrieve the input and …
Platform Competition In Digital Systems: Architectural Control And Value Migration, C. Jason Woodard
Platform Competition In Digital Systems: Architectural Control And Value Migration, C. Jason Woodard
Research Collection School Of Computing and Information Systems
Digital systems give rise to complex layered architectures in which products at one layer serve as platforms for applications and services in adjacent layers. Platform owners face a difficult balancing act. On one hand, they need to make their platforms attractive to potential complementors by mitigating the threat of architectural lock-in. On the other hand, platform owners must be careful not to give away too much too soon, or risk being unable to recoup their own investments. This paper presents an agent-based model that explores this tension at both the firm and industry levels. Computational experiments show that boundedly rational …
Gene Patenting In The Life Sciences Industry: Boon Or Bane?, Knowledge@Smu
Gene Patenting In The Life Sciences Industry: Boon Or Bane?, Knowledge@Smu
Knowledge@SMU
Does gene patenting encourage or hinder knowledge diffusion and take-up in the life sciences industry? Research by Singapore Management University management professor Kenneth Huang, and Massachusetts Institute of Technology management professor Fiona Murray found that patenting can have a negative impact on scientific progress. Huang spoke to Knowledge@SMU about the implications of his research findings in the Singapore context.
Operation And Technology Roadmapping Gives Singapore Smes A Strategic Edge, Knowledge@Smu
Operation And Technology Roadmapping Gives Singapore Smes A Strategic Edge, Knowledge@Smu
Knowledge@SMU
In today’s increasingly globalised, knowledge-based marketplace, a company’s ability to exploit innovation and technology is fundamental to sustaining growth and staying ahead of the competition. To help local small and medium-sized enterprises (SMEs) move up the value-chain, Singapore’s Agency for Science, Technology and Research (A*STAR) runs the Operation and Technology Roadmapping (OTR) initiative. Michael Ferrill, who cofounded the programme, spoke on OTR and knowledge transfer at the Fourth International Research Conference on Asian Business held in March 2008 at the Singapore Management University.
Through The Looking Glass: Singapore’S First Customer Satisfaction Survey, Knowledge@Smu
Through The Looking Glass: Singapore’S First Customer Satisfaction Survey, Knowledge@Smu
Knowledge@SMU
The Institute of Service Excellence (ISES) was established by the Singapore Management University (SMU) and Singapore’s Workforce Development Agency (WDA) in mid-2007. In April 2008, following a survey conducted across various sectors and subsectors, the Institute launched the nation’s first customer satisfaction index, known as the Customer Satisfaction Index of Singapore (CSISG). Singapore scored 68.7 out of 100 in the CSISG, lower than South Korea and the United States which scored 72 and 75 respectively.
There’S More To It Outsourcing Than Meets The Eye, Knowledge@Smu
There’S More To It Outsourcing Than Meets The Eye, Knowledge@Smu
Knowledge@SMU
As IT outsourcing continues to grow, this highly complex business poses interesting challenges that are not always fully understood, especially when large -scale projects are being implemented. At the 4th Annual Business Leadership Seminar of the Singapore Computer Society (SCS), held at the Singapore Management University in April 2008, CIOs from several leading public and private organisations discussed the pros and cons of IT outsourcing.
Ych Chairman Robert Yap: Building The Logistics Superhighway One Step At A Time, Knowledge@Smu
Ych Chairman Robert Yap: Building The Logistics Superhighway One Step At A Time, Knowledge@Smu
Knowledge@SMU
Robert Yap, chairman and CEO of YCH Group, was the featured speaker earlier this year in the Singapore Management University’s Wee Kim Wee Centre CEO Talk series. Over a period of 20 years, Yap led his family-owned business from a small transportation company in Singapore to a leading logistics and supply chain solutions provider in Asia Pacific. In recognition of his visionary leadership and industry expertise, Yap won the Ernst & Young Entrepreneur of the Year Award 2007. He spoke to Knowledge@SMU about YCH’s successful evolution and how the future looks for the company.
Smu Appoints Rajendra K. Srivastava As New Provost, Singapore Management University
Smu Appoints Rajendra K. Srivastava As New Provost, Singapore Management University
SMU Press Releases and News
No abstract provided.
Close To 100% Smu Graduates Land Jobs Within Six Months Of Graduation, Singapore Management University
Close To 100% Smu Graduates Land Jobs Within Six Months Of Graduation, Singapore Management University
SMU Press Releases and News
No abstract provided.
Become A Value Merchant, James Anderson, Nirmalya Kumar, James A. Narus
Become A Value Merchant, James Anderson, Nirmalya Kumar, James A. Narus
Research Collection Lee Kong Chian School Of Business
Increasingly held accountable for reducing costs, purchasing and other customer managers don't have the luxury of simply believing suppliers' claims of cost savings. A relatively easy and quick way to obtain savings is for purchasing managers to focus on price and obtain price concessions from suppliers. To enhance their negotiating power, purchasing managers attempt to convince suppliers that their offerings are the same as their competitors, so that they could be easily replaced. In the face of such pressure, suppliers cave in and match competitor prices. Doing business based on demonstrating and documenting superior value is, indeed, a rare commodity. …
Keeping Up With The Joneses: A Field Study Of The Relationships Among Upward, Lateral, And Downward Comparisons And Pay Level Satisfaction, Michael M. Harris, Frederik Anseel, Filip Lievens
Keeping Up With The Joneses: A Field Study Of The Relationships Among Upward, Lateral, And Downward Comparisons And Pay Level Satisfaction, Michael M. Harris, Frederik Anseel, Filip Lievens
Research Collection Lee Kong Chian School Of Business
The authors examined the relationship between the direction of pay comparisons and pay level satisfaction. They hypothesized that upward pay comparisons would significantly predict pay level satisfaction, even when controlling for other comparisons. Results reported in 2 samples (U.S. sample, N = 295; Belgian sample, N = 67) generally supported this hypothesis. Analyses showed that individuals who were paid much less than their upward pay comparison were dissatisfied with their pay level. The highest levels of pay level satisfaction were observed when actual pay was congruent with the upward comparison pay level. There was also evidence that individuals who were …
Governance Role Of Auditors And Legal Environment: Evidence From Corporate Disclosure Transparency, Sam Han, Tony Kang, Yong Keun Yoo
Governance Role Of Auditors And Legal Environment: Evidence From Corporate Disclosure Transparency, Sam Han, Tony Kang, Yong Keun Yoo
Research Collection School Of Accountancy
This study examines whether auditor size associates with disclosure transparency. Given thatprior studies generally focus on discretionary accruals to investigate the relation betweenauditor size and financial reporting quality, there is little evidence on how auditor size relates toother attributes of reporting quality. Further, studies that examine this associationinternationally produce mixed results as to how auditor size relates to reporting quality indifferent legal origins. Focusing on corporate disclosure transparency (i.e., disclosure levels), wefind that auditor size and disclosure level are positively associated across countries and that theassociation is stronger in code law regimes than in common law regimes. The latter findingsupports …