Qianying Wang

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We developed two browsers to support large photo collections on PDAs. Our first browser uses a traditional, folder-based layout that utilizes either the user's manually created organization structure, or a system-generated structure. Our second browser uses a novel interface that is based on a vertical, zoomable timeline. This Timeline browser does not(More)
We evaluate two novel applications for browsing personal collections of geo-referenced digital photographs. The first, PhotoCompas, is a browser that employs no graphical user interface elements other than the photos themselves (tex-tual browser). PhotoCompas was developed in our project, and is based on an automated organization of the respective photo(More)
We describe an implementation that has users 'flick' notes, images, audio, and video files into piles beyond the screen of the PDA. This scheme allows the PDA user to keep information close at hand without sacrificing valuable screen real estate. It also obviates the need to browse complex file trees during a working session. Multiple workspaces can be(More)
We attach an inexpensive pressure sensor to the side of a PDA and use it as three input devices at once. Users can squeeze the device to provide near-continuous input to applications. At the same time the drivers interpret a sudden full squeeze as the push of a virtual button. A user's sudden pressure release while squeezing is detected as the push of a(More)
Learning an appropriate distance metric is a critical problem in pattern recognition. This paper addresses the problem in semi-supervised metric learning and proposes a new regular-ized semi-supervised metric learning (RSSML) method using local topology and triplet constraint. Our regularizer is designed and developed based on local topology, which is(More)
Presenting effective augmenting information is helpful for users to perceive and interact in augmented reality systems. In this paper, a novel method for evaluating the human-computer interface in optical see-through augmented reality system is proposed. The main contribution presented in this paper is a user-based study that adopts the Radius Basis(More)
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the existing methods employed a simple metric, such as Euclid-ian distance, which may not be able to truly reflect the actual similarity/distance. This paper presents a novel similarity(More)
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