Jungpil Shin

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In this paper we present novel algorithm for the cursive style Korean handwriting synthesis method based on the shape analysis with minimized input data. Hangul (Korean Character) has the different characteristics in structure, that is, character consists of consonants and vowels like English and also it is a combination character like Chinese character.(More)
One essential task in extracting information from biomedical literature is the bio Named Entity Recognition (NER) process, which basically defines the boundaries between typical words and biomedical terminology in particular text data, and assigns them based on domain knowledge. This paper presents a semi supervised integration of completely different(More)
Protein-protein interaction network plays a key role in protein function prediction. Many previous studies attempted to assign the protein function by neighbor or the connected path way to known protein. However, since interacting proteins do not always correspond, their accuracy is limited. In this paper, we proposed a novel approach to predict the protein(More)
Synthesizing handwritten-style characters is an interesting issue in today’s handwriting analysis field. The purpose of this study is to artificially generate training data, foster a deep understanding of human handwriting, and promote the use of the handwritten-style computer fonts, in which the individuality or variety of the synthesized characters is(More)