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Articles 5821 - 5850 of 8706
Full-Text Articles in Entire DC Network
Learning To Name Faces: A Multimodal Learning Scheme For Search-Based Face Annotation, Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao
Learning To Name Faces: A Multimodal Learning Scheme For Search-Based Face Annotation, Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao
Research Collection School Of Computing and Information Systems
Automated face annotation aims to automatically detect human faces from a photo and further name the faces with the corresponding human names. In this paper, we tackle this open problem by investigating a search-based face annotation (SBFA) paradigm for mining large amounts of web facial images freely available on the WWW. Given a query facial image for annotation, the idea of SBFA is to first search for top-n similar facial images from a web facial image database and then exploit these top-ranked similar facial images and their weak labels for naming the query facial image. To fully mine those information, …
Best Upgrade Plans For Large Road Networks, Yimin Lin, Kyriakos Mouratidis
Best Upgrade Plans For Large Road Networks, Yimin Lin, Kyriakos Mouratidis
Research Collection School Of Computing and Information Systems
In this paper, we consider a new problem in the context of road network databases, named Resource Constrained Best Upgrade Plan computation (BUP, for short). Consider a transportation network (weighted graph) G where a subset of the edges are upgradable, i.e., for each such edge there is a cost, which if spent, the weight of the edge can be reduced to a specific new value. Given a source and a destination in G, and a budget (resource constraint) B, the BUP problem is to identify which upgradable edges should be upgraded so that the shortest path distance between source and …
“Network-Theoretic” Queuing Delay Estimation In Theme Park Attractions, Ajay Aravamudhan, Archan Misra, Hoong Chuin Lau
“Network-Theoretic” Queuing Delay Estimation In Theme Park Attractions, Ajay Aravamudhan, Archan Misra, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
Queuing is a common phenomenon in theme parks which negatively affects visitor experience and revenue yields. There is thus a need for park operators to infer the real queuing delays without expensive investment in human effort or complex tracking infrastructure. In this paper, we depart from the classical queuing theory approach and provide a data-driven and online approach for estimating the time-varying queuing delays experienced at different attractions in a theme park. This work is novel in that it relies purely on empirical observations of the entry time of individual visitors at different attractions, and also accommodates the reality that …
Attribute-Based Encryption With Verifiable Outsourced Decryption, Junzuo Lai, Robert H. Deng, Chaowen Guan, Jian Weng
Attribute-Based Encryption With Verifiable Outsourced Decryption, Junzuo Lai, Robert H. Deng, Chaowen Guan, Jian Weng
Research Collection School Of Computing and Information Systems
Attribute-based encryption (ABE) is a public-keybased one-to-many encryption that allows users to encrypt and decrypt data based on user attributes. A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of themain efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users. In such a …
Marginal Deterrence In The Enforcement Of Law: Evidence From Distributed Denial Of Service Attack, Kai-Lung Hui, Seung-Hyun Kim, Qiu-Hong Wang
Marginal Deterrence In The Enforcement Of Law: Evidence From Distributed Denial Of Service Attack, Kai-Lung Hui, Seung-Hyun Kim, Qiu-Hong Wang
Research Collection School Of Computing and Information Systems
By studying a panel dataset of distributed denial of service attack across 240 countriesover 5 years, we find that enforcing the Convention on Cybercrime had increasedthe intensity of attack by 43 to 52 percent. It did not significantly reducethe chance for a country to be selected for the attack. We conducted a batteryof identification and falsification tests to show that such increased attack intensityarose because of failure in marginal deterrence, instead of other theories such asbrutalization, stigmatization, or defiance, or general forms of endogeneity. We showthat raising the standard of proof of conviction is one way to facilitate marginaldeterrence, but …
Incremental And Accuracy-Aware Personalized Pagerank Through Scheduled Approximation, Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
Incremental And Accuracy-Aware Personalized Pagerank Through Scheduled Approximation, Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
Research Collection School Of Computing and Information Systems
As Personalized PageRank has been widely leveraged for ranking on a graph, the efficient computation of Personalized PageRank Vector (PPV) becomes a prominent issue. In this paper, we propose FastPPV, an approximate PPV computation algorithm that is incremental and accuracy-aware. Our approach hinges on a novel paradigm of scheduled approximation: the computation is partitioned and scheduled for processing in an "organized" way, such that we can gradually improve our PPV estimation in an incremental manner, and quantify the accuracy of our approximation at query time. Guided by this principle, we develop an efficient hub based realization, where we adopt the …
The User’S Communication Patterns On A Mobile Social Network Site, Youngsoo Kim
The User’S Communication Patterns On A Mobile Social Network Site, Youngsoo Kim
Research Collection School Of Computing and Information Systems
Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social networking site with 4.8 million registered users. The empirical estimation shows interesting results: (1) there are cross-effects across the communication channels: substitute effects for "chat and message" and complementary effects for "message and group message" and "chat and group message" (2) there is significant local network effect but global network effect is not observed, (3) users utilize communication channels for different purposes according to …
Which Policy First? A Network-Centric Approach For The Analysis And Ranking Of Policy Measures, Araz Taeihagh, Moshe Givoni, Rene Bañares-Alcántara
Which Policy First? A Network-Centric Approach For The Analysis And Ranking Of Policy Measures, Araz Taeihagh, Moshe Givoni, Rene Bañares-Alcántara
Research Collection School of Social Sciences
In addressing various policy problems, deciding which policy measure to start with given the range of measures available is challenging and essentially involves a process of ranking the alternatives, commonly done using multicriteria decision analysis (MCDA) techniques. In this paper a new methodology for analysis and ranking of policy measures is introduced which combines network analysis and MCDA tools. This methodology not only considers the internal properties of the measures but also their interactions with other potential measures. Consideration of such interactions provides additional insights into the process of policy formulation and can help domain experts and policy makers to …
Going Extreme: Systematically Selecting Extreme Cases For Study Through Qualitative Methods, John A. Donaldson, Ju Mae Rosie Ching, Andrew Tsao Ming Tan
Going Extreme: Systematically Selecting Extreme Cases For Study Through Qualitative Methods, John A. Donaldson, Ju Mae Rosie Ching, Andrew Tsao Ming Tan
Research Collection School of Social Sciences
Oftentimes in social science research, we do not desire to study what is true on average. It may not be as helpful to know, for instance, that poor children from underperforming schools on average perform less well in college than wealthier children from well-managed schools. Especially if the variables in question are not readily amenable to change, it might be more useful to identify and closely examine exceptional cases. That is, studying why some poor children from underperforming schools do very well in college might identify some factors that could help raise performance levels despite unfavorable circumstances. However, the commonly …
Opening The Creative Mind Of High Need For Cognitive Closure Individuals Through Activation Of Uncreative Ideas, Lay See Ong, Angela K. Y. Leung
Opening The Creative Mind Of High Need For Cognitive Closure Individuals Through Activation Of Uncreative Ideas, Lay See Ong, Angela K. Y. Leung
Research Collection School of Social Sciences
Drawing on the integrative system theory of creativity combining the person, process, and press perspectives, this research offers the first evidence of how high-need-for-cognitive-closure (NFC) individuals’ creative mind can be opened up, by making them become more cognizant of uncreative ideas as consensually invalid solutions to creative problems. A validation study was conducted to first establish the utility of a newly developed chocolate design task. In the second study, half of the participants were made aware of conventional chocolate designs by drawing these designs before generating a revolutionized design of chocolate; the other half did not have to draw out …
Balancing Conservatism And Innovation: The Pragmatic Analects, Sor-Hoon Tan
Balancing Conservatism And Innovation: The Pragmatic Analects, Sor-Hoon Tan
Research Collection School of Social Sciences
At the age of 14, I picked up a copy of the Analects for the first time.1 A quickbrowse revealed content that reminded me so much of my mother’s lectures aboutproper behavior that I promptly put it aside as a tract of old fashioned thinking andconservative manners. Through my early adulthood, my feelings about Chineseculture were close enough to the May Fourth intellectuals’ sensibilities that I didnot question interpretations of the Analects, and more generally Confucianism,as teaching a kind of conservatism incompatible with modern life. However,subsequent study has convinced me that such interpretations are one-sided andoften motivated by ideologies that …
Meta-Knowledge Of Culture Promotes Cultural Competence, Angela K.-Y. Leung, Sau-Lai Lee, Chi-Yue Chiu
Meta-Knowledge Of Culture Promotes Cultural Competence, Angela K.-Y. Leung, Sau-Lai Lee, Chi-Yue Chiu
Research Collection School of Social Sciences
A behavioral signature of cross-cultural competence is discriminative use of culturally appropriate behavioral strategies in different cultural contexts. Given the central role communication plays in cross-cultural adjustment and adaptation, the present investigation examines how meta-knowledge of culture—defined as knowledge of what members of a certain culture know—affects culturally competent cross-cultural communication. We reported two studies that examined display of discriminative, culturally sensitive use of cross-cultural communication strategies by bicultural Hong Kong Chinese (Study 1), Chinese students in the United States and European Americans (Study 2). Results showed that individuals formulating a communicative message for a member of a certain culture …
Volatility Occupation Times, Jia Li, Viktor Todorov, George Tauchen
Volatility Occupation Times, Jia Li, Viktor Todorov, George Tauchen
Research Collection School Of Economics
We propose nonparametric estimators of the occupation measure and the occupation density of the diffusion coefficient (stochastic volatility) of a discretely observed Itô semimartingale on a fixed interval when the mesh of the observation grid shrinks to zero asymptotically. In a first step we estimate the volatility locally over blocks of shrinking length, and then in a second step we use these estimates to construct a sample analogue of the volatility occupation time and a kernel-based estimator of its density. We prove the consistency of our estimators and further derive bounds for their rates of convergence. We use these results …
Testing For Multiple Bubbles 1: Historical Episodes Of Exuberance And Collapse In The S&P 500, Peter C. B. Phillips, Shu-Ping Shi, Jun Yu
Testing For Multiple Bubbles 1: Historical Episodes Of Exuberance And Collapse In The S&P 500, Peter C. B. Phillips, Shu-Ping Shi, Jun Yu
Research Collection School Of Economics
Recent work on econometric detection mechanisms has shown the effectiveness of recursive procedures in identifying and dating financial bubbles. These procedures are useful as warning alerts in surveillance strategies conducted by central banks and fiscal regulators with real time data. Use of these methods over long historical periods presents a more serious econometric challenge due to the complexity of the nonlinear structure and break mechanisms that are inherent in multiple bubble phenomena within the same sample period. To meet this challenge the present paper develops a new recursive flexible window method that is better suited for practical implementation with long …
Computing Immutable Regions For Subspace Top-K Queries, Kyriakos Mouratidis, Hwee Hwa Pang
Computing Immutable Regions For Subspace Top-K Queries, Kyriakos Mouratidis, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Given a high-dimensional dataset, a top-k query can be used to shortlist the k tuples that best match the user’s preferences. Typically, these preferences regard a subset of the available dimensions (i.e., attributes) whose relative significance is expressed by user-specified weights. Along with the query result, we propose to compute for each involved dimension the maximal deviation to the corresponding weight for which the query result remains valid. The derived weight ranges, called immutable regions, are useful for performing sensitivity analysis, for finetuning the query weights, etc. In this paper, we focus on top-k queries with linear preference functions over …
Automation Of Common Building Energy Simulation Workflows Using Python, Clayton Miller, Christian Hersberger, Marcus Jones
Automation Of Common Building Energy Simulation Workflows Using Python, Clayton Miller, Christian Hersberger, Marcus Jones
Research Collection College of Integrative Studies
A valuable skillset for building industry professionals is proficiency in high-level, scripting languages that can automate and perform many common repetitive or technically intensive tasks. This application-focused paper emphasizes the use of the Python programming language in various workflows common to the building performance modeling and simulation process. Python is an open, powerful, and easy-to-learn scripting language with an emphasis on programmer productivity. While the highlighted applications themselves are notably ordinary amongst building simulation practitioners, the novelty of this discussion is in the speed and usefulness of new Python libraries and data analysis techniques. Four short examples are illustrated: simulation …
A Psychology Of Choice Of Laws, Gary Low
A Psychology Of Choice Of Laws, Gary Low
Research Collection Yong Pung How School Of Law
There is certainly a lot of choice going around in the market for contract law. This is a good thing, since choice is key to self-determination and may help improve our laws. Yet there may be such a thing as choice overload, and the introduction of the Common European Sales law is a timely reminder to consider its effect for the market for contract law. This article does just that. It explains what choice overload is, why it comes about, and what can be done to ameliorate its effects. The conclusion is that CESL will not cause choice overload but …
A Psychology Of Choice Of Laws, Gary Low
A Psychology Of Choice Of Laws, Gary Low
Research Collection Yong Pung How School Of Law
There is certainly a lot of choice going around in the market for contract law. This is a good thing, since choice is key to self-determination and may help improve our laws. Yet there may be such a thing as choice overload, and the introduction of the Common European Sales law is a timely reminder to consider its effect for the market for contract law. This article does just that. It explains what choice overload is, why it comes about, and what can be done to ameliorate its effects. The conclusion is that CESL will not cause choice overload but …
The Completeness Of The Pragmatic Solution To Moore's Paradox In Belief: A Reply To Chan, John N. Williams
The Completeness Of The Pragmatic Solution To Moore's Paradox In Belief: A Reply To Chan, John N. Williams
Research Collection School of Social Sciences
Moore’s paradox in belief is the fact that beliefs of the form ‘p and I do not believe that p’ are ‘absurd’ yet possibly true. Writers on the paradox have nearly all taken the absurdity to be a form of irrationality. These include those who give what Timothy CHAN calls the ‘pragmatic solution’ to the paradox. This solution turns on the fact that having the Moorean belief falsifies its content. CHAN, who also takes the absurdity to be a form of irrationality, objects to this solution by arguing that it is circular and thus incomplete. This is because it must …
Near-Duplicate Video Retrieval: Current Research And Future Trends, Jiajun Liu, Zi Huang, Hongyun Cai, Heng Tao Shen, Chong-Wah Ngo, Wei Wang
Near-Duplicate Video Retrieval: Current Research And Future Trends, Jiajun Liu, Zi Huang, Hongyun Cai, Heng Tao Shen, Chong-Wah Ngo, Wei Wang
Research Collection School Of Computing and Information Systems
The exponential growth of online videos, along with increasing user involvement in video-related activities, has been observed as a constant phenomenon during the last decade. User's time spent on video capturing, editing, uploading, searching, and viewing has boosted to an unprecedented level. The massive publishing and sharing of videos has given rise to the existence of an already large amount of near-duplicate content. This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. Driven by its significance, near-duplicate video retrieval has recently attracted …
Self-Organizing Cognitive Models For Virtual Agents, Yilin Kang, Ah-Hwee Tan
Self-Organizing Cognitive Models For Virtual Agents, Yilin Kang, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Three key requirements of realistic characters or agents in virtual world can be identified as autonomy, interactivity, and personification. Working towards these challenges, this paper proposes a brain inspired agent architecture that integrates goal-directed autonomy, natural language interaction and human-like personification. Based on self-organizing neural models, the agent architecture maintains explicit mental representation of desires, intention, personalities, self-awareness, situation awareness and user awareness. Autonomous behaviors are generated via evaluating the current situation with active goals and learning the most appropriate social or goal-directed rule from the available knowledge, in accordance with the personality of each individual agent. We have built …
Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models, Siyuan Liu, Yisong Yue, Ramayya Krishnan
Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models, Siyuan Liu, Yisong Yue, Ramayya Krishnan
Research Collection School Of Computing and Information Systems
We consider the problem of adaptively routing a fleet of cooperative vehicles within a road network in the presence of uncertain and dynamic congestion conditions. To tackle this problem, we first propose a Gaussian Process Dynamic Congestion Model that can effectively characterize both the dynamics and the uncertainty of congestion conditions. Our model is efficient and thus facilitates real-time adaptive routing in the face of uncertainty. Using this congestion model, we develop an efficient algorithm for non-myopic adaptive routing to minimize the collective travel time of all vehicles in the system. A key property of our approach is the ability …
How Many Researchers Does It Take To Make Impact? Mining Software Engineering Publication Data For Collaboration Insights, Subhajit Datta, Santonu Sarkar, Sajeev A. S. M., Nishant Kumar
How Many Researchers Does It Take To Make Impact? Mining Software Engineering Publication Data For Collaboration Insights, Subhajit Datta, Santonu Sarkar, Sajeev A. S. M., Nishant Kumar
Research Collection School Of Computing and Information Systems
In the three and half decades since the inception of organized research publication in software engineering, the discipline has gained a significant maturity. This journey to maturity has been guided by the synergy of ideas, individuals and interactions. In this journey software engineering has evolved into an increasingly empirical discipline. Empirical sciences involve significant collaboration, leading to large teams working on research problems. In this paper we analyze a corpus of 19,000+ papers, written by 21,000+ authors from 16 publication venues between 1975 to 2010, to understand what is the ideal team size that has produced maximum impact in software …
Parameter Learning For Latent Network Diffusion, Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
Parameter Learning For Latent Network Diffusion, Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
Research Collection School Of Computing and Information Systems
Diffusion processes in networks are increasingly used to model dynamic phenomena such as the spread of information, wildlife, or social influence. Our work addresses the problem of learning the underlying parameters that govern such a diffusion process by observing the time at which nodes become active. A key advantage of our approach is that, unlike previous work, it can tolerate missing observations for some nodes in the diffusion process. Having incomplete observations is characteristic of offline networks used to model the spread of wildlife. We develop an EM algorithm to address parameter learning in such settings. Since both the E …
Robust Median Reversion Strategy For On-Line Portfolio Selection, Dingjiang Huang, Junlong Zhou, Bin Li, Steven Hoi, Shuigeng Zhou
Robust Median Reversion Strategy For On-Line Portfolio Selection, Dingjiang Huang, Junlong Zhou, Bin Li, Steven Hoi, Shuigeng Zhou
Research Collection School Of Computing and Information Systems
On-line portfolio selection has been attracting increasing interests from artificial intelligence community in recent decades. Mean reversion, as one most frequent pattern in financial markets, plays an important role in some state-of-the-art strategies. Though successful in certain datasets, existing mean reversion strategies do not fully consider noises and outliers in the data, leading to estimation error and thus non-optimal portfolios, which results in poor performance in practice. To overcome the limitation, we propose to exploit the reversion phenomenon by robust L1-median estimator, and design a novel on-line portfolio selection strategy named "Robust Median Reversion" (RMR), which makes optimal …
Sustainable Business Models: The Contribution Of Network Organization And Governance Modes, Sudhi Seshadri, Michael Ehret
Sustainable Business Models: The Contribution Of Network Organization And Governance Modes, Sudhi Seshadri, Michael Ehret
Research Collection Lee Kong Chian School Of Business
We provide a framework for the design of sustainable business models. While extant literature on business models focuses on unlocking positive externalities, we propose a business model framework that effectively addresses negative externalities. A taxonomy-based on transorganizational models and governance modes - classifies instruments that counsel behaviour patterns. Sustainability strategies that deal with externalities often merge instruments to manage multi-stakeholder responsibilities and exchanges. The framework draws upon three established research themes - network organizational models, governance modes, and instrumental stakeholder theory - to distinguish between six instrument classes. To illustrate its potential for analysis the paper compiles instruments within these …
Performance Measurement Design For A Parcel Delivery Company, Junyu Choy, Nang Laik Ma, Ping Shung Koo
Performance Measurement Design For A Parcel Delivery Company, Junyu Choy, Nang Laik Ma, Ping Shung Koo
Research Collection School Of Computing and Information Systems
There were extensive researches on the topic of performance management in various organizations across multiple fields. Literature on performance measurements in logistics can be divided into specific measures and their application in the context or complete framework for performance measurements. In this paper, the focus of the discussion will be the formulation of the framework which handles performance measurements for package delivery service and how the metrics measure the performance and their application in the context of package delivery service.
Robust Estimation And Inference For Jumps In Noisy High Frequency Data: A Local-To-Continuity Theory For The Pre-Averaging Method, Jia Li
Research Collection School Of Economics
We develop an asymptotic theory for the pre-averaging estimator when asset price jumps are weakly identified, here modeled as local to zero. The theory unifies the conventional asymptotic theory for continuous and discontinuous semimartingales as two polar cases with a continuum of local asymptotics, and explains the breakdown of the conventional procedures under weak identification. We propose simple bias-corrected estimators for jump power variations, and construct robust confidence sets with valid asymptotic size in a uniform sense. The method is also robust to certain forms of microstructure noise.
Forecasting Government Bond Risk Premia Using Technical Indicators, Jeremy Goh, Fuwei Jiang, Jun Tu, Guofu Zhou
Forecasting Government Bond Risk Premia Using Technical Indicators, Jeremy Goh, Fuwei Jiang, Jun Tu, Guofu Zhou
Research Collection Lee Kong Chian School Of Business
While economic variables have been used extensively to forecast bond risk premia, little attention has been paid to technical indicators which are widely used by practitioners. In this paper, we study the predictive ability of a variety of technical indicators vis-a-vis the economic variables. We find that technical indicators have significant in both in- and out-of-sample forecasting power. Moreover, we find that using information from both technical indicators and economic variables increases the forecasting performance substantially. We also find that the economic value of bond risk premia forecasts from our methodology is comparable to that of equity risk premium forecasts.
Exploring Family Features In Non-Family Organizations: The Family Metaphor And Its Behavioral Manifestations, Nava Michael-Tsabari, Wee Liang Tan
Exploring Family Features In Non-Family Organizations: The Family Metaphor And Its Behavioral Manifestations, Nava Michael-Tsabari, Wee Liang Tan
Research Collection Lee Kong Chian School Of Business
In this study, we explore the possibility of reproducing family business characteristics in the professional context of a non-family organization and analyze the behavioral manifestations of this application. Drawing upon discussions in the family therapy, organizational behavior and family business literatures, we identify cohesion and flexibility as the two primary dimensions of the family metaphor. We build on illustrative cases of three sports teams to explore these dimensions in a non-family business setting. Our exploratory analysis of these cases reveals the existence of family features and extends our understanding of these features beyond family businesses.