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Algorithms for orthogonal nonnegative matrix factorization

Type: Journal Paper

Author : Seungjin Choi

Year: 2008

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POSTECH BCIs with machine learning

Type: Conference Paper

Author : Seungjin Choi

Publisher: IEEE

Year: 2014

Bayesian common spatial patterns for multi-subject EEG classification

Type: Journal Paper

Author : Kang, Hyohyeong, and Seungjin Choi.

Publisher: Elsevier BV

Year: 2014

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Label propagation through minimax paths for scalable semi-supervised learning

Type: Journal Paper

Author : Kye-Hyeon Kim; Seungjin Choi

Year: 2014

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Supervised multi-modal topic model for image annotation

Type: Conference Paper

Author : Thu Hoai Tran , Seungjin Choi

Publisher: IEEE

Year: 2014

Clustering with -regular graphs

Type: Journal Paper

Author : Jong Kyoung Kim; Seungjin Choi

Year: 2009

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Nyström Approximations for Scalable Face Recognition: A Comparative Study

Type: Journal Paper

Author : Jeong-Min Yun; Seungjin Choi

Year: 2011

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Self-labeling for P300 detection

Type: Journal Paper

Author : Sangmin Lee; Yunjun Nam; Seungjin Choi

Year: 2012

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Multiple kernel nonnegative matrix factorization

Type: Conference Paper

Author : Shounan An; Jeong-Min Yun; Seungjin Choi

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A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition

Type: Journal Paper

Author : Jaemo Sung; Sung-Yang Bang; Seungjin Choi

Publisher: Elsevier Science

Year: 2006

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Algorithms for orthogonal nonnegative matrix factorization

POSTECH BCIs with machine learning

Bayesian common spatial patterns for multi-subject EEG classification

Label propagation through minimax paths for scalable semi-supervised learning

Supervised multi-modal topic model for image annotation

Clustering with -regular graphs

Nyström Approximations for Scalable Face Recognition: A Comparative Study

Self-labeling for P300 detection

Multiple kernel nonnegative matrix factorization

A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition

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Algorithms for orthogonal nonnegative matrix factorization

POSTECH BCIs with machine learning

Bayesian common spatial patterns for multi-subject EEG classification

Label propagation through minimax paths for scalable semi-supervised learning

Supervised multi-modal topic model for image annotation

Clustering with -regular graphs

Nyström Approximations for Scalable Face Recognition: A Comparative Study

Self-labeling for P300 detection

Multiple kernel nonnegative matrix factorization

A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition