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Handling Relationships In A Wiki System, Yashi Kamboj 2016 San Jose State University

Handling Relationships In A Wiki System, Yashi Kamboj

Master's Projects

Wiki software enables users to manage content on the web, and create or edit web pages freely. Most wiki systems support the creation of hyperlinks on pages and have a simple text syntax for page formatting. A common, more advanced feature is to allow pages to be grouped together as categories. Currently, wiki systems support categorization of pages in a very traditional way by specifying whether a wiki page belongs to a category or not. Categorization represents unary relationship and is not sufficient to represent n-ary relationships, those involving links between multiple wiki pages.

In this project, we extend Yioop ...


Web-Based Integrated Development Environment, Hien T. Vu 2016 San Jose State University

Web-Based Integrated Development Environment, Hien T. Vu

Master's Projects

As tablets become more powerful and more economical, students are attracted to them and are moving away from desktops and laptops. Their compact size and easy to use Graphical User Interface (GUI) reduce the learning and adoption barriers for new users. This also changes the environment in which undergraduate Computer Science students learn how to program. Popular Integrated Development Environments (IDE) such as Eclipse and NetBeans require disk space for local installations as well as an external compiler. These requirements cannot be met by current tablets and thus drive the need for a web-based IDE. There are also many other ...


Hashtag Recommendation With Topical Attention-Based Lstm, Yang LI, Ting LIU, Jing JIANG, Liang ZHANG 2016 Singapore Management University

Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang

Research Collection School Of Information Systems

Microblogging services allow users to create hashtags to categorize their posts. In recent years,the task of recommending hashtags for microblogs has been given increasing attention. However,most of existing methods depend on hand-crafted features. Motivated by the successful use oflong short-term memory (LSTM) for many natural language processing tasks, in this paper, weadopt LSTM to learn the representation of a microblog post. Observing that hashtags indicatethe primary topics of microblog posts, we propose a novel attention-based LSTM model whichincorporates topic modeling into the LSTM architecture through an attention mechanism. Weevaluate our model using a large real-world dataset. Experimental results ...


Museum 4.0 As The Future Of Steam In Museums, Mark Walhimer 2016 Tecnológico de Monterrey

Museum 4.0 As The Future Of Steam In Museums, Mark Walhimer

The STEAM Journal

Informal STEAM (Science, Technology, Engineering, Art and Math) activities (programs) and exhibits are common in science centers, children’s museums and natural history museums. As museums change to Museum 4.0 models (1), the STEAM exhibits and programs in museums also change. Museums 4.0 is the transformation of museums from a monolithic fixed location institution to a nimble community driven event driven organization. The Museum 4.0 becomes personalized to the visitor without fixed outcomes and without the physical restrictions of a single fixed location. As museums evolve to a Museum 4.0 model with visitor lead activities, STEAM ...


Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon 2016 Western Washington University

Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon

Nora Burmeister, MLS

This brief report provides an overview of the Fall Quarter 2016 usability sessions on the Western Libraries beta website. The purpose of this report is to inform Libraries and Learning Commons personnel of our next steps with the beta website. There were 36 participants over the course of five two hour sessions.


Marim: Mobile Augmented Reality For Interactive Manuals, Tam Nguyen, Dorothy Tan, Bilal Mirza, Jose Sepulveda 2016 University of Dayton

Marim: Mobile Augmented Reality For Interactive Manuals, Tam Nguyen, Dorothy Tan, Bilal Mirza, Jose Sepulveda

Tam Nguyen

In this work, we present a practical system which uses mobile devices for interactive manuals. In particular, there are two modes provided in the system, namely, expert/trainer and trainee modes. Given the expert/trainer editor, experts design the step-by-step interactive manuals. For each step, the experts capture the images by using phones/tablets and provide visual instructions such as interest regions, text, and action animations. In the trainee mode, the system utilizes the existing object detection and tracking algorithms to identify the step scene and retrieve the respective instruction to be displayed on the mobile device. The trainee then ...


Static Saliency Vs. Dynamic Saliency: A Comparative Study, Tam Nguyen, Mengdi Xu, Guangyu Gao, Mohan Kankanhalli, Qi Tian, Shuicheng Yan 2016 University of Dayton

Static Saliency Vs. Dynamic Saliency: A Comparative Study, Tam Nguyen, Mengdi Xu, Guangyu Gao, Mohan Kankanhalli, Qi Tian, Shuicheng Yan

Tam Nguyen

Recently visual saliency has attracted wide attention of researchers in the computer vision and multimedia field. However, most of the visual saliency-related research was conducted on still images for studying static saliency. In this paper, we give a comprehensive comparative study for the first time of dynamic saliency (video shots) and static saliency (key frames of the corresponding video shots), and two key observations are obtained: 1) video saliency is often different from, yet quite related with, image saliency, and 2) camera motions, such as tilting, panning or zooming, affect dynamic saliency significantly.

Motivated by these observations, we propose a ...


Seeing Human Weight From A Single Rgb-D Image, Tam Nguyen, Jiashi Feng, Shuicheng Yan 2016 University of Dayton

Seeing Human Weight From A Single Rgb-D Image, Tam Nguyen, Jiashi Feng, Shuicheng Yan

Tam Nguyen

Human weight estimation is useful in a variety of potential applications, e.g., targeted advertisement, entertainment scenarios and forensic science. However, estimating weight only from color cues is particularly challenging since these cues are quite sensitive to lighting and imaging conditions. In this article, we propose a novel weight estimator based on a single RGB-D image, which utilizes the visual color cues and depth information. Our main contributions are three-fold.

First, we construct the W8-RGBD dataset including RGB-D images of different people with ground truth weight.

Second, the novel sideview shape feature and the feature fusion model are proposed to ...


Salient Object Detection Via Objectness Proposals, Tam Nguyen 2016 University of Dayton

Salient Object Detection Via Objectness Proposals, Tam Nguyen

Tam Nguyen

Salient object detection has gradually become a popular topic in robotics and computer vision research. This paper presents a real-time system that detects salient objects by integrating objectness, foreground, and compactness measures. Our algorithm consists of four basic steps. First, our method generates the objectness map via object proposals. Based on the objectness map, we estimate the background margin and compute the corresponding foreground map which prefers the foreground objects. From the objectness map and the foreground map, the compactness map is formed to favor the compact objects. We then integrate those cues to form a pixel-accurate saliency map which ...


Salient Object Detection Via Augmented Hypotheses, Tam Nguyen, Jose Sepulveda 2016 University of Dayton

Salient Object Detection Via Augmented Hypotheses, Tam Nguyen, Jose Sepulveda

Tam Nguyen

In this paper, we propose using augmented hypotheses which consider objectness, foreground, and compactness for salient object detection. Our algorithm consists of four basic steps. First, our method generates the objectness map via objectness hypotheses. Based on the objectness map, we estimate the foreground margin and compute the corresponding foreground map which prefers the foreground objects. From the objectness map and the foreground map, the compactness map is formed to favor the compact objects. We then derive a saliency measure that produces a pixel-accurate saliency map which uniformly covers the objects of interest and consistently separates foreground and background.

We ...


Towards Decrypting Attractiveness Via Multi-Modality Cue, Tam Nguyen, Si Liu, Bingbing Ni, Jun Tan, Yong Rui, Shuicheng Yan 2016 University of Dayton

Towards Decrypting Attractiveness Via Multi-Modality Cue, Tam Nguyen, Si Liu, Bingbing Ni, Jun Tan, Yong Rui, Shuicheng Yan

Tam Nguyen

Decrypting the secret of beauty or attractiveness has been the pursuit of artists and philosophers for centuries. To date, the computational model for attractiveness estimation has been actively explored in the computer vision and multimedia community, yet with the focus mainly on facial features. In this article, we conduct a comprehensive study on female attractiveness conveyed by single/multiple modalities of cues, that is, face, dressing and/or voice; the aim is to discover how different modalities individually and collectively affect the human sense of beauty. To extensively investigate the problem, we collect the Multi-Modality Beauty (M2B) dataset, which is ...


Adaptive Nonparametric Image Parsing, Tam Nguyen, Canyi Lu, Jose Sepulveda, Shuicheng Yan 2016 University of Dayton

Adaptive Nonparametric Image Parsing, Tam Nguyen, Canyi Lu, Jose Sepulveda, Shuicheng Yan

Tam Nguyen

In this paper, we present an adaptive nonparametric solution to the image parsing task, namely, annotating each image pixel with its corresponding category label. For a given test image, first, a locality-aware retrieval set is extracted from the training data based on superpixel matching similarities, which are augmented with feature extraction for better differentiation of local superpixels. Then, the category of each superpixel is initialized by the majority vote of the k -nearest-neighbor superpixels in the retrieval set. Instead of fixing k as in traditional nonparametric approaches, here, we propose a novel adaptive nonparametric approach that determines the sample-specific k ...


Gecka3d: A 3d Game Engine For Commonsense Knowledge Acquisition, Erik Cambria, Tam Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda 2016 Nanyang Technological University

Gecka3d: A 3d Game Engine For Commonsense Knowledge Acquisition, Erik Cambria, Tam Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda

Tam Nguyen

Commonsense knowledge representation and reasoning is key for tasks such as artificial intelligence and natural language understanding. Since commonsense consists of information that humans take for granted, gathering it is an extremely difficult task. In this paper, we introduce a novel 3D game engine for commonsense knowledge acquisition (GECKA3D) which aims to collect commonsense from game designers through the development of serious games. GECKA3D integrates the potential of serious games and games with a purpose. This provides a platform for the acquisition of reusable and multi-purpose knowledge and also enables the development of games that can provide entertainment value and ...


Hi, Magic Closet, Tell Me What To Wear!, Si Liu, Tam Nguyen, Jiashi Feng, Meng Wang, Shuicheng Yan 2016 National University of Singapore

Hi, Magic Closet, Tell Me What To Wear!, Si Liu, Tam Nguyen, Jiashi Feng, Meng Wang, Shuicheng Yan

Tam Nguyen

In this demo, we present a practical system, "magic closet," for automatic occasion-oriented clothing pairing. Given a user-input occasion, e.g., wedding or shopping, the magic closet intelligently and automatically pairs the user-specified reference clothing (upper body or lower body) with the most suitable one from online shops. Two key criteria are explicitly considered for the magic closet system. One criterion is to dress properly, e.g., compared to suit pants, it is more decent to wear a cocktail dress for a banquet occasion. The other criterion is to dress aesthetically, e.g., a red T-shirt matches better with white ...


Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon 2016 Western Washington University

Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon

Rebecca M. Marrall

This brief report provides an overview of the Fall Quarter 2016 usability sessions on the Western Libraries beta website. The purpose of this report is to inform Libraries and Learning Commons personnel of our next steps with the beta website. There were 36 participants over the course of five two hour sessions.


Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon 2016 Western Washington University

Executive Summary: Western Libraries Beta Website Usability, Rebecca M. Marrall, Nora K. Burmeister, Jon Dillon

Usability & Design Working Group Documents

This brief report provides an overview of the Fall Quarter 2016 usability sessions on the Western Libraries beta website. The purpose of this report is to inform Libraries and Learning Commons personnel of our next steps with the beta website. There were 36 participants over the course of five two hour sessions.


A Language-Based Model For Specifying And Staging Mixed-Initiative Dialogs, Saverio Perugini, Joshua W. Buck 2016 University of Dayton

A Language-Based Model For Specifying And Staging Mixed-Initiative Dialogs, Saverio Perugini, Joshua W. Buck

Saverio Perugini

Specifying and implementing flexible human-computer dialogs, such as those used in kiosks, is complex because of the numerous and varied directions in which each user might steer a dialog. The objective of this research is to improve dialog specification and implementation. To do so we developed a model for specifying and staging mixed-initiative dialogs. The model involves a dialog authoring notation, based on concepts from programming languages, for specifying a variety of unsolicited reporting, mixed-initiative dialogs in a concise representation that serves as a design for dialog implementation. Guided by this foundation, we built a dialog staging engine which operationalizes ...


3d Data Processing With Advanced Computer Graphics Tools, Song Zhang, Laura Ekstrand, Taylor Grieve, David J. Eisenmann, L. Scott Chumbley 2016 Iowa State University

3d Data Processing With Advanced Computer Graphics Tools, Song Zhang, Laura Ekstrand, Taylor Grieve, David J. Eisenmann, L. Scott Chumbley

David Eisenmann

Often, the 3-D raw data coming from an optical profilometer contains spiky noises and irregular grid, which make it difficult to analyze and difficult to store because of the enormously large size. This paper is to address these two issues for an optical profilometer by substantially reducing the spiky noise of the 3-D raw data from an optical profilometer, and by rapidly re-sampling the raw data into regular grids at any pixel size and any orientation with advanced computer graphics tools. Experimental results will be presented to demonstrate the effectiveness of the proposed approach.


Marim: Mobile Augmented Reality For Interactive Manuals, Tam Nguyen, Dorothy Tan, Bilal Mirza, Jose Sepulveda 2016 University of Dayton

Marim: Mobile Augmented Reality For Interactive Manuals, Tam Nguyen, Dorothy Tan, Bilal Mirza, Jose Sepulveda

Computer Science Faculty Publications

In this work, we present a practical system which uses mobile devices for interactive manuals. In particular, there are two modes provided in the system, namely, expert/trainer and trainee modes. Given the expert/trainer editor, experts design the step-by-step interactive manuals. For each step, the experts capture the images by using phones/tablets and provide visual instructions such as interest regions, text, and action animations. In the trainee mode, the system utilizes the existing object detection and tracking algorithms to identify the step scene and retrieve the respective instruction to be displayed on the mobile device. The trainee then ...


A Pilot Study Of Comparison Gesture Analysis In Motion Driven Video Games, Fabrizio Valerio Covone, Brian Vaughan, Charlie Cullen 2016 Dublin Institute of Technology

A Pilot Study Of Comparison Gesture Analysis In Motion Driven Video Games, Fabrizio Valerio Covone, Brian Vaughan, Charlie Cullen

Conference Papers

This study investigates whether there are significant differences in the gestures made by gamers and non-gamers whilst playing commercial games that employ gesture inputs. Specifically, the study focuses on testing a prototype of multimodal capture tool that we used to obtain real-time audio, video and skeletal gesture data. Additionally, we developed an experimental design framework for the acquisition of spatio-temporal gesture data and analysed the vector magnitude of a gesture to compare the relative displacement of each participant whilst playing a game.


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