Bracha Laufer-Goldshtein

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 20 citations into it; #5,852 of 7,572 by trust here, #7,486 by citations
• Computational Mechanics — 7 citations into it; #7,967 of 10,001 by trust here, #9,862 by citations

Whom Bracha Laufer-Goldshtein trusts overall

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

1. Emmanuel Vincent
2. Sharon Gannot
3. Özgür Yilmaz
4. Deliang Wang
5. Hiroshi Sawada
6. Corinna Cortes
7. Mário César Ugulino de Araújo
8. Cédric Févotte
9. Vladimir Naumovich Vapnik
10. Scott T. Rickard

Who trusts Bracha Laufer-Goldshtein overall

1. Eliya Nachmani
2. Yossi Adi

Papers from Bracha Laufer-Goldshtein's perspective

Ordered by how strongly the researchers Bracha Laufer-Goldshtein trusts endorse each paper. Same corpus, a different order for every researcher.

1. Blind separation of speech mixtures via time-frequency masking (IEEE Transactions on Signal Processing)
2. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis (Neural Computation)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Support-Vector Networks
5. Image method for efficiently simulating small‐room acoustics
6. The Design for the Wall Street Journal-based CSR Corpus
7. Performance measurement in blind audio source separation
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Global and Local Simplex Representations for Multichannel Source Separation (2020) — 18 citations