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Articles 1 - 5 of 5
Full-Text Articles in Theory and Algorithms
Snap-And-Ask: Answering Multimodal Question By Naming Visual Instance, Wei Zhang, Lei Pang, Chong-Wah Ngo
Snap-And-Ask: Answering Multimodal Question By Naming Visual Instance, Wei Zhang, Lei Pang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
In real-life, it is easier to provide a visual cue when asking a question about a possibly unfamiliar topic, for example, asking the question, “Where was this crop circle found?”. Providing an image of the instance is far more convenient than texting a verbose description of the visual properties, especially when the name of the query instance is not known. Nevertheless, having to identify the visual instance before processing the question and eventually returning the answer makes multimodal question-answering technically challenging. This paper addresses the problem of visual-totext naming through the paradigm of answering-by-search in a two-stage computational framework, which …
Sketchmate: A Computer-Aided Sketching And Simulation Tool For Teaching Graph Algorithms, Kristy Sue Van Hornweder
Sketchmate: A Computer-Aided Sketching And Simulation Tool For Teaching Graph Algorithms, Kristy Sue Van Hornweder
Doctoral Dissertations
In this dissertation, we developed and tested a sketching, visualization, and simulation tool called Sketchmate for demonstrating graph algorithms commonly taught in undergraduate computer science courses. For this research, we chose to focus on shortest path and network flow algorithms. Two versions of this tool have been implemented: 1) an instructor tool that supports computer-aided manual simulations of algorithms that augment traditional whiteboard presentations, allowing lectures to be more dynamic and interactive, and 2) a student tool that supports computer-aided manual practice of algorithms that enables students to work through homework problems more quickly while providing detailed incremental feedback about …
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Jason A Bengtson
Current metadata schemas are largely analog technology grafted onto the digital format. They have three inherent limitations that need to be transcended: they generate a static product which must be changed manually, they revolve around the needs of human, rather than mechanistic agents, and they are limited by the imagination and organizational capabilities of human agency. The author argues that to meet future challenges metadata will have to take a more flexible, adaptive form that centers on the needs of the machine in searching, interpretation and organization until the information it proxies enters into the human sphere. The author further …
The Art Of Redirection: Putting Mobile Devices Where You Want Them, Jason A. Bengtson
The Art Of Redirection: Putting Mobile Devices Where You Want Them, Jason A. Bengtson
Jason A Bengtson
Mobile technology has exploded, with many libraries experiencing a surge in access to their resources through mobile devices. In response, many institutions have created or are creating mobile sites designed to accommodate themselves to the unique strictures of these devices. One hurdle faced by these organizations, however, is getting mobile users to those sites. One solution is mobile redirect scripts, which automatically redirect mobile users from a regular page to a mobile page. These scripts come in various forms and present unique challenges to libraries. How are these scripts created? What triggers can or should be used to activate them? …
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Jason A Bengtson
Current metadata schemas are largely analog technology grafted onto the digital format. They have three inherent limitations that need to be transcended: they generate a static product which must be changed manually, they revolve around the needs of human, rather than mechanistic agents, and they are limited by the imagination and organizational capabilities of human agency. The author argues that to meet future challenges metadata will have to take a more flexible, adaptive form that centers on the needs of the machine in searching, interpretation and organization until the information it proxies enters into the human sphere. The author further …