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| Other Projects
|  | Three-Layer Design for Distributed Voting System Fall 2006 CS271 Course Project, with Chang-Ming Tsai
We
implemented a distributed electronic voting system according to the
course project description. The system consists of booths (implemented
as individual processes) that can sentience with each other to maintain
a total vote result consistently and robustly. [DownLoad or more ...] |
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 | Improve Web Search Relevance Using Users' Query Click-Through Log MSN @ Microsoft, 06/2006~09/2006, Redmond, WA
I
spent the summer of 2006 in Redmond, Microsoft's headquarter, working
as an Research Software Engineering Intern in MSN Search. Overall it
was a nice experience. At that time, Ranking Relevance,
i.e., the accuracy of ranking retrieved webpages according to users'
searching goals, is still an important aspect that MSNers aimed to
improve. Not surprising, my task was to research and find a feasible
way that could improve the ranking relevance greatly in a short time. A
mission impossible? [More...] |
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| Build Relevance Ranking Function Using Boosting Algorithm Web Search and Mining Group, Microsoft Research Asia, 06/2005-12/2005 With Lei Zhang, and Weiying Ma This
project's primary purpose was to investigate the possibility to use
advanced machine learning algorithms for web page relevance ranking.The
motivation for using Boosting algorithm was the availability of a large
dataset, with which more complicated features and sophisticated machine
learning algorithms can be applied. Three aspects of the machine learning problems, i.e, feature, data, and learning algorithm, have been intensively studied. [More...] |
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| Face Annotation and Photo Album Media Computing Group, Microsoft Research, Asia Automatic
annotation of photographs is one of the most desirable needs in family
photograph management systems. This project aims to build a tool for
semi-automated face annotation in family photo album. The basic idea is
to detect all the faces in a photo album and help users to annotate
these detected faces for future retrieval. Based on the Bayesian
similarity measure, which integrates face recognition and content-based
image retrieval, the system is able to provide both face annotation and
similar face retrieval, and thus significantly improve the management
of family albums. [More...] |
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| Stereo Using Multi-flash Cameras University of California, Santa Barbara, with Rogerio Feris
In
this project we show how active illumination algorithms can produce a
rich set of feature maps that are useful in dense 3D reconstruction. We
start by showing how to compute a qualitative depth map from a single
camera, which encodes object relative distances, being a useful prior
for stereo. In a multiview setup, we show that along with depth edges,
binocular half-occluded pixels can also be explicitly and reliably
labeled. To demonstrate the usefulness of these feature maps, we show
how they can be used in two different algorithms for dense stereo
correspondence. Our experimental results show that our enhanced stereo
algoritms are able to extract high quality, discontinuity preserving
correspondence maps from scenes that are extremely challenging for
conventional stereo methods. [More...] |
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