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IEEE Honors Ph.D. Student’s Research Paper
Computer science Ph.D. student Yohan Jin received the Best Paper Award at the workshop on Semantic Learning Applications in Multimedia that was held at the 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Titled “The Randomized Approximating Graph Algorithm for Image Annotation Refinement Problem,” the paper concerned building an enhanced search engine for finding images on the Web.

“It has been a very important research problem because the text surrounding Web images is a good resource for identifying the images, but there are many noisy keywords as well,” he said. “This paper is the first to apply a graph approximation algorithm framework to the multimedia retrieval problem.”

Not only was Yohan the lead author on the paper, but his father was one of his three co-authors.

“I started this work as a course project when I took a class with Dr. Hal Sudborough, and then last winter while I was visiting home in South Korea I got some advice about solving this work mathematically from my father, whose major was numerical analysis,” he said. “I thought that producing a paper with my father would make a memorable part of my Ph.D. studies.”

His other co-authors were his adviser, Dr. Balakrishnan Prabhakaran, and Dr. Latifur Khan, both associate professors of computer science.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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