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Semi-Supervised Nonnegative Matrix Factorization
TLDR
We present semi-supervised NMF (SSNMF), where we jointly incorporate the data matrix and the (partial) class label matrix into NMF. Expand
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Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds
  • Jiho Yoo, S. Choi
  • Mathematics, Computer Science
  • Inf. Process. Manag.
  • 1 September 2010
TLDR
Matrix factorization-based methods become popular in dyadic data analysis, where a fundamental problem, for example, is to perform document clustering or co-clustering words and documents given a term-document matrix. Expand
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Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction
TLDR
We develop Weighted Nonnegative Matrix Co-Tri-Factorization (WNMCTF) where we jointly minimize weighted residuals, each of which involves a nonnegative 3-factor decomposition of target or side information matrix. Expand
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Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds
TLDR
We present an algorithm for orthogonal nonnegative matrix factorization, where an orthogonality constraint is imposed on the nonnegative decomposition of a term-document matrix. Expand
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Nonnegative matrix partial co-factorization for drum source separation
TLDR
We present nonnegative matrix partial co-factorization (NMPCF) where the target matrix (spectrograms of music) and drum-only-matrix (collected from various drums) are simultaneously decomposed, sharing some factor matrix partially, to force some portion of basis vectors to be associated with drums only. Expand
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Nonnegative Matrix Factorization with Orthogonality Constraints
  • Jiho Yoo, S. Choi
  • Mathematics, Computer Science
  • J. Comput. Sci. Eng.
  • 30 June 2010
TLDR
In this paper, we present an algorithm for orthogonal nonnegative matrix factorization, where an orthogonality constraint is imposed on the nonnegative decomposition of a term-document matrix. Expand
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Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation
TLDR
We address a problem of separating drum sources from monaural mixtures of polyphonic music containing various pitched instruments as well as drums. Expand
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Probabilistic matrix tri-factorization
  • Jiho Yoo, S. Choi
  • Mathematics, Computer Science
  • IEEE International Conference on Acoustics…
  • 19 April 2009
TLDR
We present a probabilistic model with two dependent latent variables for nonnegative matrix tri-factorization (NMTF) and develop an EM algorithm to learn the model. Expand
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Principal network analysis: identification of subnetworks representing major dynamics using gene expression data
TLDR
We present principal network analysis (PNA) that can automatically capture major dynamic activation patterns over multiple conditions and then generate protein and metabolic subnetworks for the captured patterns. Expand
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Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound
TLDR
We present Bayesian matrix co-factorization as an approach to exploiting side information such as content information and demographic user data, where multiple Bayesian decomposition is coupled by sharing some factor matrices. Expand
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