Jaeyeon Kihm

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Clustering plays an important role in many large-scale data analyses providing users with an overall understanding of their data. Nonetheless, clustering is not an easy task due to noisy features and outliers existing in the data, and thus the clustering results obtained from automatic algorithms often do not make clear sense. To remedy this problem,(More)
Investigators across many disciplines and organizations must sift through large collections of text documents to understand and piece together information. Whether they are fighting crime, curing diseases, deciding what car to buy, or researching a new field, inevitably investigators will encounter text documents. Taking a visual analytics approach, we(More)
We present an interactive visual analytics system for classification, iVisClassifier, based on a supervised dimension reduction method, linear discriminant analysis (LDA). Given high-dimensional data and associated cluster labels, LDA gives their reduced dimensional representation, which provides a good overview about the cluster structure. Instead of a(More)
Exploratory search and information-seeking support systems attempt to go beyond simple information retrieval and assist people with exploration, investigation, learning and understanding activities on document collections. In this work we integrate several computational text analysis techniques, including document summarization, document similarity,(More)
Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination with data mining techniques to solve the challenge.
Low power "helper" cores have been increasingly included on application processors to accomplish low intensity tasks such as music playing and motion sensing with minimum energy consumption. Recently, Guimbretière et al. [1] demonstrated that such helper cores can also be used to execute simple user interface tasks. We revisit this approach by(More)
The advent of high speed input sensor and display technologies and the drive for faster interactive response suggests that human-computer interaction (HCI) task processing deadlines of a few milliseconds or less may be required in future handheld devices. At the same time, users will expect the same, if not better, battery life than today's devices under(More)
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