Shigeki Miyabe

2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shigeki Miyabe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nobutaka Ono

Papers from Shigeki Miyabe's perspective

Ordered by how strongly the researchers Shigeki Miyabe trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stable and fast update rules for independent vector analysis based on auxiliary function technique (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics)
  2. Algorithms for Non-negative Matrix Factorization
  3. A robust and precise method for solving the permutation problem of frequency-domain blind source separation (IEEE Transactions on Speech and Audio Processing)
  4. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria (IEEE Transactions on Audio, Speech, and Language Processing)
  5. Learning the parts of objects by non-negative matrix factorization
  6. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis (Neural Computation)
  7. Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model (IEEE Transactions on Audio, Speech, and Language Processing)
  8. Blind Source Separation Exploiting Higher-Order Frequency Dependencies (IEEE Transactions on Audio, Speech, and Language Processing)
  9. Independent Vector Analysis: An Extension of ICA to Multivariate Components
  10. The HTK book

Their papers